| Year |
Citation |
Score |
| 2021 |
Rice E, Wilder B, Onasch-Vera L, DiGuiseppi G, Petering R, Hill C, Yadav A, Lee SJ, Tambe M. A Peer-Led, Artificial Intelligence-Augmented Social Network Intervention to Prevent HIV Among Youth Experiencing Homelessness. Journal of Acquired Immune Deficiency Syndromes (1999). 88: S20-S26. PMID 34757989 DOI: 10.1097/QAI.0000000000002807 |
0.503 |
|
| 2020 |
Cranford EA, Gonzalez C, Aggarwal P, Cooney S, Tambe M, Lebiere C. Toward Personalized Deceptive Signaling for Cyber Defense Using Cognitive Models. Topics in Cognitive Science. PMID 32725751 DOI: 10.1111/Tops.12513 |
0.342 |
|
| 2019 |
Gomes C, Dietterich T, Barrett C, Conrad J, Dilkina B, Ermon S, Fang F, Farnsworth A, Fern A, Fern X, Fink D, Fisher D, Flecker A, Freund D, Fuller A, ... ... Tambe M, et al. Computational sustainability Communications of the Acm. 62: 56-65. DOI: 10.1145/3339399 |
0.554 |
|
| 2018 |
Bondi E, Dey D, Kapoor A, Piavis J, Shah S, Fang F, Dilkina B, Hannaford R, Iyer A, Joppa L, Tambe M. AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs The Compass. 40. DOI: 10.1145/3209811.3209880 |
0.319 |
|
| 2018 |
Rice E, Yoshioka-Maxwell A, Petering R, Onasch-Vera L, Craddock J, Tambe M, Yadav A, Wilder B, Woo D, Winetrobe H, Wilson N. Piloting the Use of Artificial Intelligence to Enhance HIV Prevention Interventions for Youth Experiencing Homelessness Journal of the Society For Social Work and Research. 9: 551-573. DOI: 10.1086/701439 |
0.533 |
|
| 2017 |
Sintov N, Kar D, Nguyen T, Fang F, Hoffman K, Lyet A, Tambe M. Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences Ai Magazine. 38: 35. DOI: 10.1609/Aimag.V38I2.2733 |
0.379 |
|
| 2017 |
Fang F, Nguyen TH, Pickles R, Lam WY, Clements GR, An B, Singh A, Schwedock BC, Tambe M, Lemieux A. PAWS — A Deployed Game-Theoretic Application to Combat Poaching Ai Magazine. 38: 23. DOI: 10.1609/Aimag.V38I1.2710 |
0.315 |
|
| 2017 |
Yadav A, Chan H, Jiang AX, Xu H, Rice E, Petering R, Tambe M. Using social networks to raise HIV awareness among homeless youth Journal of Reproduction and Development. 61: 4. DOI: 10.1147/Jrd.2017.2716678 |
0.603 |
|
| 2017 |
Fang F, Nguyen TH, Sinha A, Gholami S, Plumptre A, Joppa L, Tambe M, Driciru M, Wanyama F, Rwetsiba A, Critchlow R, Beale CM. Predicting poaching for wildlife Protection Ibm Journal of Research and Development. 61: 3:1-3:12. DOI: 10.1147/Jrd.2017.2713584 |
0.414 |
|
| 2017 |
Marcolino LS, Lakshminarayanan AS, Nagarajan V, Tambe M. Every team deserves a second chance: an extended study on predicting team performance Autonomous Agents and Multi-Agent Systems. 31: 1003-1054. DOI: 10.1007/S10458-016-9348-2 |
0.353 |
|
| 2016 |
Yadav A, Marcolino LS, Rice E, Petering R, Winetrobe H, Rhoades H, Tambe M, Carmichael H. PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. Ai Magazine. 37: 47-62. PMID 27642227 DOI: 10.1609/Aimag.V37I2.2632 |
0.576 |
|
| 2016 |
Shieh E, Jiang AX, Yadav A, Varakantham P, Tambe M. An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs Multiagent and Grid Systems. 11: 189-226. DOI: 10.3233/Mgs-150236 |
0.797 |
|
| 2016 |
Kar D, Fang F, Delle Fave FM, Sintov N, Tambe M, Lyet A. Comparing human behavior models in repeated Stackelberg security games: An extended study Artificial Intelligence. 240: 65-103. DOI: 10.1016/J.Artint.2016.08.002 |
0.356 |
|
| 2015 |
Sinha A, Nguyen TH, Kar D, Brown M, Tambe M, Jiang AX. From physical security to cybersecurity Journal of Cybersecurity. 1: 19-35. DOI: 10.1093/Cybsec/Tyv007 |
0.442 |
|
| 2015 |
Fave FMD, Shieh E, Jain M, Jiang AX, Rosoff H, Tambe M, Sullivan JP. Efficient solutions for joint activity based security games: fast algorithms, results and a field experiment on a transit system Autonomous Agents and Multi-Agent Systems. 29: 787-820. DOI: 10.1007/S10458-014-9270-4 |
0.475 |
|
| 2015 |
Nguyen TH, Tambe M. A unifying methodology for confronting uncertainties in security games: Advances and algorithms (doctoral consortium) Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 3: 1963-1964. |
0.376 |
|
| 2015 |
Bošanský B, Jiang AX, Tambe M, Kiekintveld C. Combining compact representation and incremental generation in large games with sequential strategies Proceedings of the National Conference On Artificial Intelligence. 2: 812-818. |
0.311 |
|
| 2015 |
Fang F, Stone P, Tambe M. When security games go green: Designing defender strategies to prevent poaching and illegal fishing Ijcai International Joint Conference On Artificial Intelligence. 2015: 2589-2595. |
0.321 |
|
| 2015 |
Fang F, Stone P, Tambe M. Defender strategies in domains involving frequent adversary interaction Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 3: 1663-1664. |
0.301 |
|
| 2014 |
Shieh E, Jiang AX, Yadav A, Varakantham P, Tambe M. Unleashing Dec-MDPs in security games: Enabling effective defender teamwork Frontiers in Artificial Intelligence and Applications. 263: 819-824. DOI: 10.3233/978-1-61499-419-0-819 |
0.688 |
|
| 2014 |
Jiang AX, Jain M, Tambe M. Computational game theory for security and sustainability Journal of Information Processing. 22: 176-185. DOI: 10.2197/Ipsjjip.22.176 |
0.467 |
|
| 2014 |
Fave FMD, Jiang AX, Yin Z, Zhang C, Tambe M, Kraus S, Sullivan JP. Game-theoretic security patrolling with dynamic execution uncertainty and a case study on a real transit system Journal of Artificial Intelligence Research. 50: 321-367. DOI: 10.1613/Jair.4317 |
0.679 |
|
| 2014 |
Tsai J, Nguyen TH, Weller N, Tambe M. Game-theoretic target selection in contagion-based domains Computer Journal. 57: 893-905. DOI: 10.1093/Comjnl/Bxt094 |
0.403 |
|
| 2014 |
Kwak Jy, Varakantham P, Maheswaran R, Chang YH, Tambe M, Becerik-Gerber B, Wood W. TESLA: An extended study of an energy-saving agent that leverages schedule flexibility Autonomous Agents and Multi-Agent Systems. 28: 605-636. DOI: 10.1007/S10458-013-9234-0 |
0.741 |
|
| 2014 |
Brown M, An B, Kiekintveld C, Ordóñez F, Tambe M. An extended study on multi-objective security games Autonomous Agents and Multi-Agent Systems. 28: 31-71. DOI: 10.1007/S10458-012-9209-6 |
0.443 |
|
| 2014 |
Marcolino LS, Zhang C, Jiang AX, Tambe M. A detailed analysis of a multi-agent diverse team Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8386: 3-24. DOI: 10.1007/978-3-319-07314-9_1 |
0.309 |
|
| 2014 |
Brown M, Saisubramanian S, Varakantham P, Tambe M. STREETS: Game-theoretic traffic patrolling with exploration and exploitation Proceedings of the National Conference On Artificial Intelligence. 4: 2966-2971. |
0.616 |
|
| 2014 |
Vorobeychik Y, An B, Tambe M, Singh S. Computing solutions in infinite-horizon discounted adversarial patrolling games Proceedings International Conference On Automated Planning and Scheduling, Icaps. 2014: 314-322. |
0.318 |
|
| 2013 |
Fang F, Xin A, Tambe M. Protecting moving targets with multiple mobile resources Journal of Artificial Intelligence Research. 48: 583-634. DOI: 10.1613/Jair.4027 |
0.443 |
|
| 2013 |
An B, Ordóñez F, Tambe M, Shieh E, Yang R, Baldwin C, DiRenzo J, Moretti K, Maule B, Meyer G. A deployed quantal response-based patrol planning system for the u.s. coast guard Interfaces. 43: 400-420. DOI: 10.1287/Inte.2013.0700 |
0.42 |
|
| 2013 |
Fave FMD, Qian Y, Jiang AX, Brown M, Tambe M. Planning and learning in security games Sigecom Exchanges. 12: 38-41. DOI: 10.1145/2509013.2509019 |
0.411 |
|
| 2013 |
Yang R, Kiekintveld C, Ordóñez F, Tambe M, John R. Improving resource allocation strategies against human adversaries in security games: An extended study Artificial Intelligence. 195: 440-469. DOI: 10.1016/J.Artint.2012.11.004 |
0.419 |
|
| 2013 |
Tsai J, Bowring E, Marsella S, Tambe M. Empirical evaluation of computational fear contagion models in crowd dispersions Autonomous Agents and Multi-Agent Systems. 27: 200-217. DOI: 10.1007/S10458-013-9220-6 |
0.714 |
|
| 2013 |
Jiang AX, Nguyen TH, Tambe M, Procaccia AD. Monotonic maximin: A robust stackelberg solution against boundedly rational followers Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8252: 119-139. DOI: 10.1007/978-3-319-02786-9_8 |
0.301 |
|
| 2013 |
Fang F, Jiang AX, Tambe M. Optimal patrol strategy for protecting moving targets with multiple mobile resources 12th International Conference On Autonomous Agents and Multiagent Systems 2013, Aamas 2013. 2: 957-964. |
0.332 |
|
| 2013 |
Shieh E, Jain M, Jiang AX, Tambe M. Efficiently solving joint activity based security games Ijcai International Joint Conference On Artificial Intelligence. 346-352. |
0.336 |
|
| 2012 |
Pita J, John R, Maheswaran R, Tambe M, Kraus S. A robust approach to addressing human adversaries in security games Frontiers in Artificial Intelligence and Applications. 242: 660-665. DOI: 10.3233/978-1-61499-098-7-660 |
0.638 |
|
| 2012 |
Yin Z, Jiang AX, Tambe M, Kiekintveld C, Leyton-Brown K, Sandholm T, Sullivan JP. TRUSTS: Scheduling randomized patrols for fare inspection in transit systems using game theory Ai Magazine. 33: 59-72. DOI: 10.1609/Aimag.V33I4.2432 |
0.627 |
|
| 2012 |
An B, Shieh E, Tambe M, Yang R, Baldwin C, DiRenzo J, Maule B, Meyer G. PROTECT -- A Deployed Game Theoretic System for Strategic Security Allocation for the United States Coast Guard Ai Magazine. 33: 96-110. DOI: 10.1609/Aimag.V33I4.2401 |
0.422 |
|
| 2012 |
Alani H, An B, Jain M, Kido T, Konidaris GD, Lawless WF, Martin DL, Pantofaru C, Sofge DA, Takadama K, Tambe M, Vitvar T. Reports of the AAAI 2012 Spring Symposia Ai Magazine. 33: 109-114. DOI: 10.1609/Aimag.V33I3.2428 |
0.312 |
|
| 2012 |
Jain M, An B, Tambe M. An overview of recent application trends at the AAMAS conference: Security, sustainability, and safety Ai Magazine. 33: 14-28. DOI: 10.1609/Aimag.V33I3.2420 |
0.391 |
|
| 2012 |
Tambe M, Jain M, Pita JA, Jiang AX. Game theory for security: Key algorithmic principles, deployed systems, lessons learned 2012 50th Annual Allerton Conference On Communication, Control, and Computing, Allerton 2012. 1822-1829. DOI: 10.1109/Allerton.2012.6483443 |
0.623 |
|
| 2012 |
Klein L, Kwak JY, Kavulya G, Jazizadeh F, Becerik-Gerber B, Varakantham P, Tambe M. Coordinating occupant behavior for building energy and comfort management using multi-agent systems Automation in Construction. 22: 525-536. DOI: 10.1016/J.Autcon.2011.11.012 |
0.653 |
|
| 2012 |
Yin Z, Tambe M. A unified method for handling discrete and continuous uncertainty in Bayesian Stackelberg games 11th International Conference On Autonomous Agents and Multiagent Systems 2012, Aamas 2012: Innovative Applications Track. 2: 592-599. |
0.333 |
|
| 2012 |
Jain M, Leyton-Brown K, Tambe M. A study of phase transitions in security games Aaai Spring Symposium - Technical Report. 21-30. |
0.303 |
|
| 2012 |
Vorobeychik Y, An B, Tambe M. Adversarial patrolling games Aaai Spring Symposium - Technical Report. 91-98. |
0.355 |
|
| 2012 |
Jain M, Leyton-Brown K, Tambe M. The deployment-to-saturation ratio in security games Proceedings of the National Conference On Artificial Intelligence. 2: 1362-1370. |
0.322 |
|
| 2012 |
Kaluža B, Kaminka GA, Tambe M. Detection of suspicious behavior from a sparse set of multiagent interactions 11th International Conference On Autonomous Agents and Multiagent Systems 2012, Aamas 2012: Innovative Applications Track. 2: 1056-1063. |
0.58 |
|
| 2012 |
Tsai J, Weller N, Tambe M. Analysis of heuristic techniques for controlling contagion Aaai Fall Symposium - Technical Report. 69-75. |
0.344 |
|
| 2012 |
Yang R, Ordonez F, Tambe M. Computing optimal strategy against quantal response in security games 11th International Conference On Autonomous Agents and Multiagent Systems 2012, Aamas 2012: Innovative Applications Track. 2: 584-591. |
0.367 |
|
| 2011 |
Pita J, Tambe M, Kiekintveld C, Cullen S, Steigerwald E. GUARDS - Innovative application of game theory for national airport security Ijcai International Joint Conference On Artificial Intelligence. 2710-2715. DOI: 10.5591/978-1-57735-516-8/IJCAI11-451 |
0.607 |
|
| 2011 |
Yin Z, Tambe M. Continuous time planning for multiagent teams with temporal constraints Ijcai International Joint Conference On Artificial Intelligence. 465-471. DOI: 10.5591/978-1-57735-516-8/IJCAI11-085 |
0.331 |
|
| 2011 |
Korzhyk D, Yin Z, Kiekintveld C, Conitzer V, Tambe M. Stackelberg vs. nash in security games: An extended investigation of interchangeability, equivalence, and uniqueness Journal of Artificial Intelligence Research. 41: 297-327. DOI: 10.1613/Jair.3269 |
0.621 |
|
| 2011 |
An B, Pita J, Shieh E, Tambe M, Kiekintveld C, Marecki J. GUARDS and PROTECT: next generation applications of security games Sigecom Exchanges. 10: 31-34. DOI: 10.1145/1978721.1978729 |
0.746 |
|
| 2011 |
Taylor ME, Jain M, Tandon P, Yokoo M, Tambe M. Distributed On-line Multi-Agent Optimization Under Uncertainty: Balancing Exploration and Exploitation Advances in Complex Systems. 14: 471-528. DOI: 10.1142/S0219525911003104 |
0.477 |
|
| 2011 |
Kiekintveld C, Marecki J, Tambe M. Approximation methods for infinite Bayesian Stackelberg games: Modeling distributional payoff uncertainty Security and Game Theory: Algorithms, Deployed Systems, Lessons Learned. 213-232. DOI: 10.1017/CBO9780511973031.011 |
0.68 |
|
| 2011 |
Pita J, Tambe M, Kiekintveld C, Cullen S, Steigerwald E. GUARDS: Game-Theoretic security allocation on a national scale Security and Game Theory: Algorithms, Deployed Systems, Lessons Learned. 107-128. DOI: 10.1017/CBO9780511973031.006 |
0.604 |
|
| 2011 |
Tsai J, Bowring E, Marsella S, Tambe M. Empirical evaluation of computational emotional contagion models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6895: 384-397. DOI: 10.1007/978-3-642-23974-8_42 |
0.694 |
|
| 2011 |
Pita J, Yang R, Tambe M, John R. Toward addressing human behavior with observational uncertainty in security games Aaai Workshop - Technical Report. 57-64. |
0.62 |
|
| 2011 |
Jain M, Kiekintveld C, Tambe M. Quality-bounded solutions for finite Bayesian stackelberg games: Scaling up 10th International Conference On Autonomous Agents and Multiagent Systems 2011, Aamas 2011. 2: 937-944. |
0.366 |
|
| 2011 |
Pita J, Tambe M, Kiekintveld C, Cullen S, Steigerwald E. GUARDS - Game theoretic security allocation on a national scale 10th International Conference On Autonomous Agents and Multiagent Systems 2011, Aamas 2011. 1: 33-40. |
0.64 |
|
| 2011 |
Yin Z, Jain M, Tambe M, Ordóñez F. Risk-averse strategies for security games with execution and observational uncertainty Proceedings of the National Conference On Artificial Intelligence. 1: 758-763. |
0.327 |
|
| 2011 |
An B, Jain M, Tambe M, Kiekintveld C. Mixed-initiative optimization in security games: A preliminary report Aaai Spring Symposium - Technical Report. 8-11. |
0.385 |
|
| 2011 |
Jain M, Yin Z, Tambe M, Ordóñez F. Addressing execution and observation error in security games Aaai Workshop - Technical Report. 18-25. |
0.324 |
|
| 2010 |
Bowring E, Tambe M. Introducing multiagent systems to undergraduates through games and chocolate Multi-Agent Systems For Education and Interactive Entertainment: Design, Use and Experience. 101-114. DOI: 10.4018/978-1-60960-080-8.ch006 |
0.703 |
|
| 2010 |
Tasaki M, Yabu Y, Iwanari Y, Yokoo M, Marecki J, Varakantham P, Tambe M. Introducing communication in Dis-POMDPs with locality of interaction Web Intelligence and Agent Systems: An International Journal. 8: 303-311. DOI: 10.3233/Wia-2010-0193 |
0.795 |
|
| 2010 |
Bowring E, Tambe M, Yokoo M. Balancing local resources and global goals in multiply-constrained DCOP Multiagent and Grid Systems. 6: 353-393. DOI: 10.3233/Mgs-2010-0155 |
0.781 |
|
| 2010 |
Jain M, Tsai J, Pita J, Kiekintveld C, Rathi S, Tambe M, Ordóñez F. Software assistants for randomized patrol planning for the lax airport police and the Federal Air Marshal Service Interfaces. 40: 267-290. DOI: 10.1287/Inte.1100.0505 |
0.638 |
|
| 2010 |
Pita J, Jain M, Tambe M, Ordóñez F, Kraus S. Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition Artificial Intelligence. 174: 1142-1171. DOI: 10.1016/J.Artint.2010.07.002 |
0.692 |
|
| 2010 |
Kiekintveld C, Marecki J, Tambe M. Methods and algorithms for infinite Bayesian Stackelberg Security Games Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6442: 257-265. DOI: 10.1007/978-3-642-17197-0_18 |
0.717 |
|
| 2009 |
Pita J, Jain M, Ordóñez F, Portway C, Tambe M, Western C, Paruchuri P, Kraus S. Using Game Theory for Los Angeles Airport Security Ai Magazine. 30: 43-57. DOI: 10.1609/Aimag.V30I1.2173 |
0.825 |
|
| 2009 |
Pita J, Bellamane H, Jain M, Kiekintveld C, Tsai J, Ordóñez F, Tambe M. Security applications: lessons of real-world deployment Sigecom Exchanges. 8: 5. DOI: 10.1145/1980522.1980527 |
0.615 |
|
| 2009 |
Paruchuri P, Pearce JP, Marecki J, Tambe M, Ordóñez F, Kraus S. Coordinating randomized policies for increasing security of agent systems Information Technology and Management. 10: 67-79. DOI: 10.1007/S10799-008-0047-9 |
0.809 |
|
| 2009 |
Marecki J, Schurr N, Tambe M, Scerri P. Analyzing dangers in multiagent rescue using DEFACTO Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4324: 241-257. DOI: 10.1007/978-3-642-04879-1_17 |
0.766 |
|
| 2009 |
Paruchuri P, Tambe M, Ordóñez F, Kraus S. Coordinating randomized policies for increasing security in multiagent systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4324: 191-207. DOI: 10.1007/978-3-642-04879-1_14 |
0.772 |
|
| 2009 |
Marecki J, Tambe M. Planning with continuous resources for agent teams Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 2: 990-997. |
0.71 |
|
| 2009 |
Schurr N, Marecki J, Tambe M. Improving adjustable autonomy strategies for time-critical domains Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 1: 499-506. |
0.814 |
|
| 2009 |
Jain M, Taylor M, Tambe M, Yokoo M. DCOPs meet the realworld: Exploring unknown reward matrices with applications to mobile sensor networks Ijcai International Joint Conference On Artificial Intelligence. 181-186. |
0.346 |
|
| 2009 |
Bowring E, Yin Z, Zinkov R, Tambe M. Sensitivity analysis for distributed optimization with resource constraints Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 1: 459-466. |
0.772 |
|
| 2008 |
Pearce JP, Tambe M, Maheswaran R. Solving multiagent networks using distributed constraint optmization Ai Magazine. 29: 47-62. DOI: 10.1609/Aimag.V29I3.2159 |
0.769 |
|
| 2008 |
Tambe M. Electric Elves: What Went Wrong and Why Ai Magazine. 29: 23-27. DOI: 10.1609/Aimag.V29I2.2123 |
0.329 |
|
| 2008 |
Jain M, Pita J, Tambe M, Ordóñez F, Paruchuri P, Kraus S. Bayesian stackelberg games and their application for security at Los Angeles international airport Sigecom Exchanges. 7: 10. DOI: 10.1145/1399589.1399599 |
0.778 |
|
| 2008 |
Marecki J, Tambe M. Towards faster planning with continuous resources in stochastic domains Proceedings of the National Conference On Artificial Intelligence. 2: 1049-1055. |
0.7 |
|
| 2008 |
Tambe M, Balsamo A, Bowring E. Using science fiction in teaching artificial intelligence Aaai Spring Symposium - Technical Report. 86-91. |
0.668 |
|
| 2008 |
Schurr N, Marecki J, Tambe M. RIAACT: A robust approach to Adjustable Autonomy for human-multiagent teams Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 3: 1397-1400. |
0.811 |
|
| 2008 |
Tasaki M, Yabu Y, Yokoo M, Varakantham P, Marecki J, Tambe M. Introducing communication to joint policy search algorithm for networked distributed POMDPs Computer Software. 25: 226-237. |
0.79 |
|
| 2007 |
Myers KL, Berry P, Blythe J, Conley K, Gervasio MT, McGuinness DL, Morley DN, Pfeffer A, Pollack ME, Tambe M. An Intelligent Personal Assistant for Task and Time Management Ai Magazine. 28: 47-61. DOI: 10.1609/Aimag.V28I2.2039 |
0.334 |
|
| 2007 |
Gupta T, Varakantham P, Rauenbusch TW, Tambe M. Demonstration of teamwork in uncertain domains using hybrid BDI-POMDP systems Proceedings of the International Conference On Autonomous Agents. 1367-1368. DOI: 10.1145/1329125.1329445 |
0.658 |
|
| 2007 |
Marecki J, Tambe M. On opportunistic techniques for solving decentralized Markov decision processes with temporal constraints Proceedings of the International Conference On Autonomous Agents. 830-837. DOI: 10.1145/1329125.1329389 |
0.663 |
|
| 2007 |
Pearce JP, Tambe M. Quality guarantees on k-optimal solutions for distributed constraint optimization problems Ijcai International Joint Conference On Artificial Intelligence. 1446-1451. |
0.734 |
|
| 2007 |
Marecki J, Koenig S, Tambe M. A fast analytical algorithm for solving Markov decision processes with real-valued resources Ijcai International Joint Conference On Artificial Intelligence. 2536-2541. |
0.698 |
|
| 2007 |
Varakantham P, Marecki J, Tambe M, Yokoo M. SPIDER attack on a network of POMDPs: Towards quality bounded solutions Aaai Spring Symposium - Technical Report. 68-75. |
0.779 |
|
| 2007 |
Varakantham P, Maheswaran RT, Gupta T, Tambe M. Towards efficient computation of error bounded solutions in POMDPs: Expected value approximation and dynamic disjunctive beliefs Ijcai International Joint Conference On Artificial Intelligence. 2638-2643. |
0.668 |
|
| 2006 |
Schurr N, Patil P, Pighin F, Tambe M. Using multiagent teams to improve the training of incident commanders Proceedings of the International Conference On Autonomous Agents. 2006: 1490-1497. DOI: 10.1145/1160633.1160924 |
0.655 |
|
| 2006 |
Greenstadt R, Pearce JP, Bowring E, Tambe M. Experimental analysis of privacy loss in DCOP algorithms Proceedings of the International Conference On Autonomous Agents. 2006: 1424-1426. DOI: 10.1145/1160633.1160899 |
0.799 |
|
| 2006 |
Bowring E, Tambe M, Yokoo M. Multiply-constrained distributed constraint optimization Proceedings of the International Conference On Autonomous Agents. 2006: 1413-1420. DOI: 10.1145/1160633.1160897 |
0.771 |
|
| 2006 |
Pearce JP, Maheswaran RT, Tambe M. Solution sets for DCOPs and graphical games Proceedings of the International Conference On Autonomous Agents. 2006: 577-584. DOI: 10.1145/1160633.1160738 |
0.747 |
|
| 2006 |
Varakantham P, Nair R, Tambe M, Yokoo M. Winning back the CUP for distributed POMDPs: Planning over continuous belief spaces Proceedings of the International Conference On Autonomous Agents. 2006: 289-296. DOI: 10.1145/1160633.1160683 |
0.691 |
|
| 2006 |
Paruchuri P, Tambe M, Ordóñez F, Kraus S. Security in multiagent systems by policy randomization Proceedings of the International Conference On Autonomous Agents. 2006: 273-280. DOI: 10.1145/1160633.1160681 |
0.769 |
|
| 2006 |
Maheswaran RT, Pearce JP, Bowring E, Varakantham P, Tambe M. Privacy loss in distributed constraint reasoning: A quantitative framework for analysis and its applications Autonomous Agents and Multi-Agent Systems. 13: 27-60. DOI: 10.1007/S10458-006-5951-Y |
0.807 |
|
| 2006 |
Varakantham P, Maheswaran R, Tambe M. Implementation techniques for solving POMDPs in personal assistant agents Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3862: 76-89. DOI: 10.1007/11678823_5 |
0.706 |
|
| 2006 |
Maheswaran RT, Pearce JP, Tambe M. A family of graphical-game-based algorithms for distributed constraint optimization problems Coordination of Large-Scale Multiagent Systems. 127-146. DOI: 10.1007/0-387-27972-5_6 |
0.763 |
|
| 2006 |
Bowring E, Tambe M, Yokoo M. Multiply-constrained DCOP for distributed planning and scheduling Aaai Spring Symposium - Technical Report. 25-32. |
0.775 |
|
| 2006 |
Greenstadt R, Pearce JP, Tambe M. Analysis of privacy loss in distributed constraint optimization Proceedings of the National Conference On Artificial Intelligence. 1: 647-653. |
0.766 |
|
| 2006 |
Pearce JP, Maheswaran RT, Tambe M. Solution sets in DCOPs and graphical games: Metrics and bounds 9th International Symposium On Artificial Intelligence and Mathematics, Isaim 2006. |
0.748 |
|
| 2005 |
Schurr N, Marecki J, Tambe M, Scerri P. Towards flexible coordination of human-agent teams Multiagent and Grid Systems. 1: 3-16. DOI: 10.3233/Mgs-2005-1102 |
0.802 |
|
| 2005 |
Nair R, Tambe M. Hybrid BDI-POMDP framework for multiagent teaming Journal of Artificial Intelligence Research. 23: 367-420. DOI: 10.1613/Jair.1549 |
0.641 |
|
| 2005 |
Modi PJ, Shen WM, Tambe M, Yokoo M. Adopt: Asynchronous distributed constraint optimization with quality guarantees Artificial Intelligence. 161: 149-180. DOI: 10.1016/J.Artint.2004.09.003 |
0.434 |
|
| 2005 |
Jung H, Tambe M. On communication in solving distributed constraint satisfaction problems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3690: 418-429. DOI: 10.1007/11559221_42 |
0.516 |
|
| 2005 |
Marecki J, Schurr N, Tambe M. Agent-Based Simulations for Disaster Rescue Using the DEFACTO Coordination System Emergent Information Technologies and Enabling Policies For Counter-Terrorism. 281-297. DOI: 10.1002/047178656X.ch14 |
0.78 |
|
| 2005 |
Bowring E, Tambe M, Yokoo M. Optimize my schedule but keep it flexible: Distributed multi-criteria coordination for personal assistants Aaai Spring Symposium - Technical Report. 39-46. |
0.763 |
|
| 2005 |
Varakantham P, Maheswaran RT, Tambe M. Practical POMDPs for personal assistant domains Aaai Spring Symposium - Technical Report. 68-75. |
0.7 |
|
| 2005 |
Varakantham P, Maheswaran R, Tambe M. Exploiting belief bounds: Practical POMDPs for personal assistant agents Proceedings of the International Conference On Autonomous Agents. 1109-1116. |
0.714 |
|
| 2005 |
Pearce JP, Maheswaran RT, Tambe M. How local is that optimum? k-optimality for DCOP Proceedings of the International Conference On Autonomous Agents. 1383-1384. |
0.72 |
|
| 2005 |
Nair R, Varakantham P, Tambe M, Yokoo M. Networked distributed POMDPs: A synthesis of distributed constraint optimization and POMDPs Proceedings of the National Conference On Artificial Intelligence. 1: 133-139. |
0.678 |
|
| 2005 |
Nair R, Varakantham P, Tambe M, Yokoo M. Networked distributed POMDPs: A synergy of distributed constraint optimization and POMDPs Ijcai International Joint Conference On Artificial Intelligence. 1758-1760. |
0.664 |
|
| 2005 |
Schurr N, Marecki J, Tambe M, Scerri P. Demonstration of DEFACTO: Training tool for incident commanders Proceedings of the International Conference On Autonomous Agents. 21-22. |
0.745 |
|
| 2004 |
Nair R, Tambe M, Marsella S, Raines T. Automated assistants for analyzing team behaviors Autonomous Agents and Multi-Agent Systems. 8: 69-111. DOI: 10.1023/B:Agnt.0000009411.79208.F4 |
0.642 |
|
| 2004 |
Jung H, Tambe M. On communication in distributed constraint satisfaction Proceedings of the Third International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas 2004. 3: 1480-1481. |
0.334 |
|
| 2004 |
Maheswaran RT, Tambe M, Varakantham P, Myers K. Adjustable autonomy challenges in personal assistant agents: A position paper Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2969: 187-194. |
0.68 |
|
| 2004 |
Schurr N, Scerri P, Tambe M. Coordination advice: A preliminary investigation of human advice to multiagent teams Aaai Spring Symposium - Technical Report. 3: 87-92. |
0.72 |
|
| 2004 |
Nair R, Tambe M, Roth M, Yokoo M. Communication for improving policy computation in distributed POMDPs Proceedings of the Third International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas 2004. 3: 1098-1105. |
0.303 |
|
| 2004 |
Scerri P, Farinelli A, Okamoto S, Tambe M. Token approach for role allocation in extreme teams: Analysis and experimental evaluation Proceedings of the Workshop On Enabling Technologies: Infrastructure For Collaborative Enterprises, Wetice. 13: 397-402. |
0.35 |
|
| 2004 |
Paruchuri P, Tambe M, Ordonez F, Kraus S. Towards a formalization of teamwork with resource constraints Proceedings of the Third International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas 2004. 2: 596-603. |
0.789 |
|
| 2003 |
Pynadath DV, Tambe M. An Automated Teamwork Infrastructure for Heterogeneous Software Agents and Humans Autonomous Agents and Multi-Agent Systems. 7: 71-100. DOI: 10.1023/A:1024176820874 |
0.43 |
|
| 2003 |
Nair R, Tambe M, Marsella S. Role Allocation and Reallocation in Multiagent Teams: Towards a Practical Analysis Proceedings of the International Conference On Autonomous Agents. 2: 552-559. |
0.36 |
|
| 2003 |
Modi PJ, Shen WM, Tambe M, Yokoo M. An Asynchronous Complete Method for Distributed Constraint Optimization Proceedings of the Interantional Conference On Autonomous Agents. 2: 161-168. |
0.357 |
|
| 2003 |
Scerri P, Modi J, Shen WM, Tambe M. Are multiagent algorithms relevant for real hardware? A case study of distributed constraint algorithms Proceedings of the Acm Symposium On Applied Computing. 38-44. |
0.339 |
|
| 2003 |
Jung H, Nair R, Tambe M, Marsella S. Computational models for multiagent coordination analysis: Extending distributed POMDP models Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2699: 103-114. |
0.33 |
|
| 2002 |
Kaminka GA, Pynadath DV, Tambe M. Monitoring teams by overhearing: A multi-agent plan-recognition approach Journal of Artificial Intelligence Research. 17: 83-135. DOI: 10.1613/Jair.970 |
0.619 |
|
| 2002 |
Scerri P, Pynadath DV, Tambe M. Towards adjustable autonomy for the real world Journal of Artificial Intelligence Research. 17: 171-228. DOI: 10.1613/Jair.1037 |
0.385 |
|
| 2002 |
Pynadath DV, Tambe M. The communicative multiagent team decision problem: Analyzing teamwork theories and models Journal of Artificial Intelligence Research. 16: 389-423. DOI: 10.1613/Jair.1024 |
0.424 |
|
| 2002 |
Chalupsky H, Gil Y, Knoblock CA, Lerman K, Oh J, Pynadath DV, Russ TA, Tambe M. ELECTRIC ELVES Agent Technology for Supporting Human Organizations Ai Magazine. 23: 11-24. DOI: 10.1609/Aimag.V23I2.1637 |
0.306 |
|
| 2002 |
Eaton PS, Fruehwirth T, Tambe M. Special issue on constraint agents Constraints. 7: 5. DOI: 10.1023/A:1017968708469 |
0.391 |
|
| 2002 |
Pynadath DV, Tambe M. Revisiting Asimov's first law: A response to the call to arms Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2333: 307-320. |
0.379 |
|
| 2001 |
Marsella S, Tambe M, Adibi J, Al-Onaizan Y, Kaminka GA, Muslea I. Experiences Acquired in the Design of RoboCup Teams: A Comparison of Two Fielded Teams Autonomous Agents and Multi-Agent Systems. 4: 115-129. DOI: 10.1023/A:1010027016147 |
0.641 |
|
| 2001 |
Jung H, Tambe M, Kulkarni S. Argumentation as distributed constraint satisfactions: Applications and results Proceedings of the International Conference On Autonomous Agents. 324-331. |
0.383 |
|
| 2001 |
Scerri P, Pynadath D, Tambe M. Adjustable autonomy in real-world multi-agent environments Proceedings of the International Conference On Autonomous Agents. 300-307. |
0.317 |
|
| 2001 |
Kaminka GA, Pynadath DV, Tambe M. Monitoring deployed agent teams Proceedings of the International Conference On Autonomous Agents. 308-315. |
0.62 |
|
| 2001 |
Pynadath DV, Tambe M, Kaminka GA. Adaptive infrastructures for agent integration Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 1887: 80-93. |
0.591 |
|
| 2000 |
Kaminka GA, Tambe M. Robust Agent Teams via Socially-Attentive Monitoring Journal of Artificial Intelligence Research. 12: 105. DOI: 10.1613/Jair.682 |
0.643 |
|
| 2000 |
Tambe M, Raines T, Marsella S. Agent assistants for team analysis Ai Magazine. 21: 27-31. DOI: 10.1609/Aimag.V21I3.1519 |
0.404 |
|
| 2000 |
Tambe M, Pynadath DV, Chauvat N. Building dynamic agent organizations in cyberspace Ieee Internet Computing. 4: 65-73. DOI: 10.1109/4236.832948 |
0.35 |
|
| 2000 |
Tambe M, Zhang W. Towards Flexible Teamwork in Persistent Teams: Extended Report Autonomous Agents and Multi-Agent Systems. 3: 159-183. DOI: 10.1023/A:1010026728246 |
0.452 |
|
| 2000 |
Raines T, Tambe M, Marsella S. Automated assistants to aid humans in understanding team behaviors Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1856: 85-102. |
0.3 |
|
| 2000 |
Pynadath DV, Tambe M, Chauvat N, Cavedon L. Toward team-oriented programming Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1757: 233-247. |
0.306 |
|
| 1999 |
Tambe M, Jung H. The benefits of arguing in a team Ai Magazine. 20: 85-92. DOI: 10.1609/Aimag.V20I4.1482 |
0.52 |
|
| 1999 |
Tambe M, Adibi J, Al-Onaizan Y, Erdem A, Kaminka GA, Marsella SC, Muslea I. Building agent teams using an explicit teamwork model and learning Artificial Intelligence. 110: 215-239. DOI: 10.1016/S0004-3702(99)00022-3 |
0.654 |
|
| 1998 |
Tambe M, Adibi J, Al-Onaizan Y, Erdem A, Kaminka GA, Marsella SC, Muslea I, Tallis M. ISIS: An Explicit Model of Teamwork at RobotCup-97 Ai Magazine. 19: 56. DOI: 10.1609/Aimag.V19I3.1393 |
0.542 |
|
| 1998 |
Tambe M. Implementing agent teams in dynamic multiagent environments Applied Artificial Intelligence. 12: 189-210. DOI: 10.1080/088395198117820 |
0.429 |
|
| 1998 |
Tambe M, Johnson L, Shen W. Adaptive agent tracking in real-world multiagent domains International Journal of Human-Computer Studies \/ International Journal of Man-Machine Studies. 48: 105-124. DOI: 10.1006/Ijhc.1997.0163 |
0.402 |
|
| 1998 |
Kaminka GA, Tambe M. Social comparison for failure detection and recovery Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1365: 127-141. |
0.58 |
|
| 1997 |
Tambe M. Towards flexible teamwork Journal of Artificial Intelligence Research. 7: 83-124. DOI: 10.1613/Jair.433 |
0.431 |
|
| 1997 |
Tambe M, Gmytrasiewicz P. AAAI-96 Workshop on Agent Modeling Ai Magazine. 18: 87. DOI: 10.1609/Aimag.V18I3.1311 |
0.384 |
|
| 1996 |
Tambe M, Rosenbloom PS. Architectures for agents that track other agents in multi-agent worlds Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1037: 156-170. DOI: 10.1007/3540608052_65 |
0.308 |
|
| 1995 |
Tambe M, Johnson WL, Jones RM, Koss FV, Laird JE, Rosenbloom PS, Schwamb K. Intelligent Agents for Interactive Simulation Environments Ai Magazine. 16: 15-39. DOI: 10.1609/Aimag.V16I1.1121 |
0.396 |
|
| 1994 |
Tambe M, Rosenbloom PS. Investigating production system representations for non-combinatorial match Artificial Intelligence. 68: 155-199. DOI: 10.1016/0004-3702(94)90097-3 |
0.308 |
|
| 1992 |
Acharya A, Gupta A, Tambe M. Implementation of Production Systems on Message-Passing Computers Ieee Transactions On Parallel and Distributed Systems. 3: 477-487. DOI: 10.1109/71.149965 |
0.314 |
|
| 1991 |
Harvey W, Kalp D, Tambe M, McKeown D, Newell A. The effectiveness of task-level parallelism for production systems Journal of Parallel and Distributed Computing. 13: 395-411. DOI: 10.1016/0743-7315(91)90099-U |
0.509 |
|
| 1990 |
Tambe M, Newell A, Rosenbloom PS. The Problem of Expensive Chunks and its Solution by Restricting Expressiveness Machine Learning. 5: 299-348. DOI: 10.1023/A:1022603523533 |
0.564 |
|
| 1988 |
Gupta A, Tambe M, Kalp D, Forgy C, Newell A. Parallel implementation of OPS5 on the encore multiprocessor: Results and analysis International Journal of Parallel Programming. 17: 95-124. DOI: 10.1007/Bf01383952 |
0.547 |
|
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