Year |
Citation |
Score |
2019 |
Santucci VG, Oudeyer PY, Barto A, Baldassarre G. Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots. Frontiers in Neurorobotics. 13: 115. PMID 32009927 DOI: 10.3389/fnbot.2019.00115 |
0.411 |
|
2019 |
Barto AG. Reinforcement Learning: Connections, Surprises, and Challenge Ai Magazine. 40: 3-15. DOI: 10.1609/AIMAG.V40I1.2844 |
0.369 |
|
2018 |
Frankenhuis WE, Panchanathan K, Barto AG. Enriching Behavioral Ecology with Reinforcement Learning Methods. Behavioural Processes. PMID 29412143 DOI: 10.1016/J.Beproc.2018.01.008 |
0.322 |
|
2015 |
Niekum S, Osentoski S, Konidaris G, Chitta S, Marthi B, Barto AG. Learning grounded finite-state representations from unstructured demonstrations International Journal of Robotics Research. 34: 131-157. DOI: 10.1177/0278364914554471 |
0.693 |
|
2015 |
Niekum S, Osentoski S, Atkeson CG, Barto AG. Online Bayesian changepoint detection for articulated motion models Proceedings - Ieee International Conference On Robotics and Automation. 2015: 1468-1475. DOI: 10.1109/ICRA.2015.7139383 |
0.505 |
|
2015 |
Botvinick M, Weinstein A, Solway A, Barto A. Reinforcement learning, efficient coding, and the statistics of natural tasks Current Opinion in Behavioral Sciences. 5: 71-77. DOI: 10.1016/J.Cobeha.2015.08.009 |
0.459 |
|
2014 |
Baldassarre G, Stafford T, Mirolli M, Redgrave P, Ryan RM, Barto A. Intrinsic motivations and open-ended development in animals, humans, and robots: an overview. Frontiers in Psychology. 5: 985. PMID 25249998 DOI: 10.3389/Fpsyg.2014.00985 |
0.394 |
|
2014 |
Da Silva BC, Baldassarre G, Konidaris G, Barto A. Learning parameterized motor skills on a humanoid robot Proceedings - Ieee International Conference On Robotics and Automation. 5239-5244. DOI: 10.1109/ICRA.2014.6907629 |
0.386 |
|
2014 |
Da Silva BC, Konidaris G, Barto A. Active learning of parameterized skills 31st International Conference On Machine Learning, Icml 2014. 5: 3736-3745. |
0.361 |
|
2013 |
Levy YZ, Levy DJ, Barto AG, Meyer JS. A computational hypothesis for allostasis: delineation of substance dependence, conventional therapies, and alternative treatments. Frontiers in Psychiatry. 4: 167. PMID 24391601 DOI: 10.3389/Fpsyt.2013.00167 |
0.709 |
|
2013 |
Barto A, Mirolli M, Baldassarre G. Novelty or surprise? Frontiers in Psychology. 4: 907. PMID 24376428 DOI: 10.3389/fpsyg.2013.00907 |
0.306 |
|
2013 |
Shah A, Barto AG, Fagg AH. A dual process account of coarticulation in motor skill acquisition. Journal of Motor Behavior. 45: 531-49. PMID 24116847 DOI: 10.1080/00222895.2013.837423 |
0.528 |
|
2013 |
Kuindersma SR, Grupen RA, Barto AG. Variable risk control via stochastic optimization International Journal of Robotics Research. 32: 806-825. DOI: 10.1177/0278364913476124 |
0.766 |
|
2013 |
Barto AG. Intrinsic motivation and reinforcement learning Intrinsically Motivated Learning in Natural and Artificial Systems. 17-47. DOI: 10.1007/978-3-642-32375-1_2 |
0.373 |
|
2013 |
Kuindersma S, Grupen R, Barto A. Variational Bayesian optimization for runtime risk-sensitive control Robotics: Science and Systems. 8: 201-208. |
0.609 |
|
2012 |
Konidaris G, Kuindersma S, Grupen R, Barto A. Robot learning from demonstration by constructing skill trees International Journal of Robotics Research. 31: 360-375. DOI: 10.1177/0278364911428653 |
0.762 |
|
2012 |
Niekum S, Osentoski S, Konidaris G, Barto AG. Learning and generalization of complex tasks from unstructured demonstrations Ieee International Conference On Intelligent Robots and Systems. 5239-5246. DOI: 10.1109/IROS.2012.6386006 |
0.348 |
|
2012 |
Dabney W, Barto AG. Adaptive step-size for online temporal difference learning Proceedings of the National Conference On Artificial Intelligence. 2: 872-878. |
0.317 |
|
2012 |
Da Silva BC, Konidaris G, Barto AG. Learning parameterized skills Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1679-1686. |
0.383 |
|
2012 |
Konidaris G, Scheidwasser I, Barto AG. Transfer in reinforcement learning via shared features Journal of Machine Learning Research. 13: 1333-1371. |
0.306 |
|
2011 |
Ribas-Fernandes JJ, Solway A, Diuk C, McGuire JT, Barto AG, Niv Y, Botvinick MM. A neural signature of hierarchical reinforcement learning. Neuron. 71: 370-9. PMID 21791294 DOI: 10.1016/J.Neuron.2011.05.042 |
0.361 |
|
2011 |
Niekum S, Spector L, Barto A. Evolution of reward functions for reinforcement learning Genetic and Evolutionary Computation Conference, Gecco'11 - Companion Publication. 177-178. DOI: 10.1145/2001858.2001957 |
0.331 |
|
2011 |
Kuindersma S, Grupen R, Barto A. Learning dynamic arm motions for postural recovery Ieee-Ras International Conference On Humanoid Robots. 7-12. DOI: 10.1109/Humanoids.2011.6100881 |
0.77 |
|
2011 |
Botvinick MM, Niv Y, Barto AG. Hierarchically organised behaviour and its neural foundations: A reinforcement-learning perspective Modelling Natural Action Selection. 264-299. DOI: 10.1017/CBO9780511731525.017 |
0.355 |
|
2011 |
Konidaris G, Kuindersma S, Grupen R, Barto A. Autonomous skill acquisition on a mobile manipulator Proceedings of the National Conference On Artificial Intelligence. 2: 1468-1473. |
0.599 |
|
2010 |
Konidaris G, Kuindersmay S, Barto A, Grupen R. Constructing skill trees for reinforcement learning agents from demonstration trajectories Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.662 |
|
2009 |
Shah A, Barto AG. Effect on movement selection of an evolving sensory representation: a multiple controller model of skill acquisition. Brain Research. 1299: 55-73. PMID 19595991 DOI: 10.1016/j.brainres.2009.07.006 |
0.543 |
|
2009 |
Botvinick MM, Niv Y, Barto AC. Hierarchically organized behavior and its neural foundations: a reinforcement learning perspective. Cognition. 113: 262-80. PMID 18926527 DOI: 10.1016/j.cognition.2008.08.011 |
0.388 |
|
2009 |
Konidaris G, Barto A. Efficient skill learning using abstraction selection Ijcai International Joint Conference On Artificial Intelligence. 1107-1112. |
0.343 |
|
2009 |
Konidaris G, Barto A. Skill discovery in continuous reinforcement learning domains using skill chaining Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1015-1023. |
0.324 |
|
2007 |
Konidaris G, Barto A. Building portable options: Skill transfer in reinforcement learning Ijcai International Joint Conference On Artificial Intelligence. 895-900. |
0.333 |
|
2006 |
Konidaris G, Barto A. Autonomous shaping: Knowledge transfer in reinforcement learning Acm International Conference Proceeding Series. 148: 489-496. DOI: 10.1145/1143844.1143906 |
0.325 |
|
2006 |
Rosenstein MT, Barto AG, Van Emmerik REA. Learning at the level of synergies for a robot weightlifter Robotics and Autonomous Systems. 54: 706-717. DOI: 10.1016/J.Robot.2006.03.002 |
0.773 |
|
2006 |
Wolfe AP, Barto AG. Decision tree methods for finding reusable MDP homomorphisms Proceedings of the National Conference On Artificial Intelligence. 1: 530-535. |
0.458 |
|
2005 |
Berthier NE, Rosenstein MT, Barto AG. Approximate optimal control as a model for motor learning. Psychological Review. 112: 329-46. PMID 15783289 DOI: 10.1037/0033-295X.112.2.329 |
0.747 |
|
2005 |
Şimşek O, Barto AG. Learning skills in reinforcement learning using relative novelty Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3607: 367-374. |
0.386 |
|
2005 |
Şimşek Ö, Wolfe AP, Barto AG. Identifying useful subgoals in reinforcement learning by local graph partitioning Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 817-824. |
0.594 |
|
2005 |
Singh S, Barto AG, Chentanez N. Intrinsically motivated reinforcement learning Advances in Neural Information Processing Systems. |
0.373 |
|
2004 |
Shah A, Fagg AH, Barto AG. Cortical involvement in the recruitment of wrist muscles. Journal of Neurophysiology. 91: 2445-56. PMID 14749314 DOI: 10.1152/Jn.00879.2003 |
0.394 |
|
2004 |
Rosenstein MT, Barto AG. Reinforcement learning with supervision by a stable controller Proceedings of the American Control Conference. 5: 4517-4522. DOI: 10.1109/ACC.2004.182663 |
0.753 |
|
2004 |
Şimşek O, Wolfe AP, Barto AG. Local graph partitioning as a basis for generating temporally-extended actions in reinforcement learning Aaai Workshop - Technical Report. 91-96. |
0.592 |
|
2004 |
Şimşek O, Barto AG. Using relative novelty to identify useful temporal abstractions in reinforcement learning Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 751-758. |
0.342 |
|
2003 |
Barto AG, Mahadevan S. Recent Advances in Hierarchical Reinforcement Learning Discrete Event Dynamic Systems: Theory and Applications. 13: 343-379+382. DOI: 10.1023/A:1022140919877 |
0.372 |
|
2003 |
Perkins TJ, Barto AG. Lyapunov design for safe reinforcement learning Journal of Machine Learning Research. 3: 803-832. |
0.636 |
|
2002 |
Fagg AH, Shah A, Barto AG. A computational model of muscle recruitment for wrist movements. Journal of Neurophysiology. 88: 3348-58. PMID 12466451 DOI: 10.1152/Jn.00621.2002 |
0.398 |
|
2002 |
Ravindran B, Barto AG. Model minimization in hierarchical reinforcement learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2371: 196-211. |
0.364 |
|
2001 |
Rosenstein MT, Barto AG. Robot weightlifting by direct policy search Ijcai International Joint Conference On Artificial Intelligence. 839-844. |
0.714 |
|
2001 |
Perkins TJ, Barto AG. Heuristic search in infinite state spaces guided by Lyapunov analysis Ijcai International Joint Conference On Artificial Intelligence. 242-247. |
0.511 |
|
1999 |
Moll R, Barto AG, Perkins TJ, Sutton RS. Learning instance-independent value functions to enhance local search Advances in Neural Information Processing Systems. 1017-1023. |
0.701 |
|
1998 |
Crites RH, Barto AG. Elevator Group Control Using Multiple Reinforcement Learning Agents Machine Learning. 12: 235-262. |
0.31 |
|
1998 |
Monaco JF, Ward DG, Barto AG. Automated aircraft recovery via reinforcement learning: Initial experiments Advances in Neural Information Processing Systems. 1022-1028. |
0.328 |
|
1997 |
Barto AG, Sutton RS. Chapter 19 Reinforcement learning in artificial intelligence Advances in Psychology. 121: 358-386. DOI: 10.1016/S0166-4115(97)80105-7 |
0.57 |
|
1997 |
Hansen EA, Barto AG, Zilberstein S. Reinforcement learning for mixed open-loop and closed-loop control Advances in Neural Information Processing Systems. 1026-1032. |
0.307 |
|
1997 |
Duff MO, Barto AG. Local bandit approximation for optimal learning problems Advances in Neural Information Processing Systems. 1019-1025. |
0.666 |
|
1994 |
Barto AG. Reinforcement learning control. Current Opinion in Neurobiology. 4: 888-93. PMID 7888773 DOI: 10.1016/0959-4388(94)90138-4 |
0.379 |
|
1994 |
Gullapalli V, Barto AG, Grupen RA. Learning admittance mappings for force-guided assembly Proceedings - Ieee International Conference On Robotics and Automation. 2633-2638. |
0.609 |
|
1992 |
Sutton RS, Barto AG, Williams RJ. Reinforcement Learning is Direct Adaptive Optimal Control Ieee Control Systems. 12: 19-22. DOI: 10.1109/37.126844 |
0.567 |
|
1992 |
Gullapalli V, Grupen RA, Barto AG. Learning reactive admittance control Proceedings - Ieee International Conference On Robotics and Automation. 2: 1475-1480. |
0.359 |
|
1991 |
Jacobs RA, Jordan MI, Barto AG. Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks Cognitive Science. 15: 219-250. DOI: 10.1016/0364-0213(91)80006-Q |
0.64 |
|
1986 |
Moore JW, Desmond JE, Berthier NE, Blazis DE, Sutton RS, Barto AG. Simulation of the classically conditioned nictitating membrane response by a neuron-like adaptive element: response topography, neuronal firing, and interstimulus intervals. Behavioural Brain Research. 21: 143-54. PMID 3755947 DOI: 10.1016/0166-4328(86)90092-6 |
0.391 |
|
1985 |
Barto AG, Anandan P. Pattern-Recognizing Stochastic Learning Automata Ieee Transactions On Systems, Man and Cybernetics. 360-375. DOI: 10.1109/TSMC.1985.6313371 |
0.329 |
|
1983 |
Barto AG, Sutton RS, Anderson CW. Neuronlike Adaptive Elements That Can Solve Difficult Learning Control Problems Ieee Transactions On Systems, Man and Cybernetics. 834-846. DOI: 10.1109/TSMC.1983.6313077 |
0.536 |
|
1982 |
Barto AG, Anderson CW, Sutton RS. Synthesis of nonlinear control surfaces by a layered associative search network. Biological Cybernetics. 43: 175-85. PMID 7093360 DOI: 10.1007/BF00319977 |
0.48 |
|
1982 |
Barto AG, Sutton RS. Simulation of anticipatory responses in classical conditioning by a neuron-like adaptive element. Behavioural Brain Research. 4: 221-35. PMID 6277346 DOI: 10.1016/0166-4328(82)90001-8 |
0.386 |
|
1981 |
Barto AG, Sutton RS. Landmark learning: an illustration of associative search. Biological Cybernetics. 42: 1-8. PMID 7326277 DOI: 10.1007/BF00335152 |
0.518 |
|
1981 |
Sutton RS, Barto AG. Toward a modern theory of adaptive networks: expectation and prediction. Psychological Review. 88: 135-70. PMID 7291377 DOI: 10.1037/0033-295X.88.2.135 |
0.469 |
|
1979 |
Barto AG, Sutton RS, Brouwer PS. Associative search network: A reinforcement learning associative memory Biological Cybernetics. 40: 201-211. DOI: 10.1007/BF00453370 |
0.452 |
|
Low-probability matches (unlikely to be authored by this person) |
2019 |
Thomas PS, Castro da Silva B, Barto AG, Giguere S, Brun Y, Brunskill E. Preventing undesirable behavior of intelligent machines. Science (New York, N.Y.). 366: 999-1004. PMID 31754000 DOI: 10.1126/Science.Aag3311 |
0.3 |
|
1986 |
Barto AG, Anandan P, Anderson CW. COOPERATIVITY IN NETWORKS OF PATTERN RECOGNIZING STOCHASTIC LEARNING AUTOMATA . 235-246. |
0.291 |
|
2002 |
McGovern A, Moss E, Barto AG. Building a basic block instruction scheduler with reinforcement learning and rollouts Machine Learning. 49: 141-160. DOI: 10.1023/A:1017976211990 |
0.287 |
|
1986 |
Barto AG. ADAPTIVE NEURAL NETWORKS FOR LEARNING CONTROL: SOME COMPUTATIONAL EXPERIMENTS . 170-175. |
0.285 |
|
2002 |
Kositsky M, Barto AG. The emergence of movement units through learning with noisy efferent signals and delayed sensory feedback Neurocomputing. 44: 889-895. DOI: 10.1016/S0925-2312(02)00488-5 |
0.281 |
|
2014 |
Solway A, Diuk C, Córdova N, Yee D, Barto AG, Niv Y, Botvinick MM. Optimal behavioral hierarchy. Plos Computational Biology. 10: e1003779. PMID 25122479 DOI: 10.1371/Journal.Pcbi.1003779 |
0.281 |
|
1995 |
Barto AG, Bradtke SJ, Singh SP. Learning to act using real-time dynamic programming Artificial Intelligence. 72: 81-138. DOI: 10.1016/0004-3702(94)00011-O |
0.279 |
|
1997 |
Fagg AH, Sitkoff N, Barto AG, Houk JC. Model of cerebellar learning for control of arm movements using muscle synergies Proceedings of Ieee International Symposium On Computational Intelligence in Robotics and Automation, Cira. 6-12. |
0.275 |
|
1997 |
Fagg AH, Sitkoff N, Barto AG, Houk JC. Cerebellar learning for control of a two-link arm in muscle space Proceedings - Ieee International Conference On Robotics and Automation. 3: 2638-2644. |
0.273 |
|
2007 |
Jonsson A, Barto A. Active learning of dynamic bayesian networks in Markov decision processes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4612: 273-284. |
0.273 |
|
1996 |
Houk JC, Buckingham JT, Barto AG. Models of the cerebellum and motor learning Behavioral and Brain Sciences. 19: 368-383. DOI: 10.1017/S0140525X00081474 |
0.27 |
|
1985 |
Barto AG. Learning by statistical cooperation of self-interested neuron-like computing elements. Human Neurobiology. 4: 229-56. PMID 3915497 |
0.267 |
|
2008 |
Konidaris G, Barto A. Sensorimotor abstraction selection for efficient, autonomous robot skill acquisition 2008 Ieee 7th International Conference On Development and Learning, Icdl. 151-156. DOI: 10.1109/DEVLRN.2008.4640821 |
0.267 |
|
2006 |
Ferguson K, Arroyo I, Mahadevan S, Woolf B, Barto A. Improving intelligent tutoring systems: Using expectation maximization to learn student skill levels Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4053: 453-462. DOI: 10.1007/11774303_45 |
0.261 |
|
2006 |
Konidaris G, Barto A. An adaptive robot motivational system Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4095: 346-356. |
0.255 |
|
2005 |
Jonsson A, Johns J, Mehranian H, Arroyo I, Woolf B, Barto A, Fisher D, Mahadevan S. Evaluating the feasibility of learning student models from data Aaai Workshop - Technical Report. 1-6. |
0.249 |
|
1999 |
Barto AG, Fagg AH, Sitkoff N, Houk JC. A cerebellar model of timing and prediction in the control of reaching. Neural Computation. 11: 565-94. PMID 10085421 DOI: 10.1162/089976699300016575 |
0.237 |
|
1993 |
Berthier NE, Singh SP, Barto AG, Houk JC. Distributed representation of limb motor programs in arrays of adjustable pattern generators. Journal of Cognitive Neuroscience. 5: 56-78. PMID 23972120 DOI: 10.1162/Jocn.1993.5.1.56 |
0.186 |
|
2009 |
Şimşek O, Barto AG. Skill characterization based on betweenness Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1497-1504. |
0.149 |
|
1997 |
Kettner RE, Mahamud S, Leung HC, Sitkoff N, Houk JC, Peterson BW, Barto AG. Prediction of complex two-dimensional trajectories by a cerebellar model of smooth pursuit eye movement. Journal of Neurophysiology. 77: 2115-30. PMID 9114259 DOI: 10.1152/Jn.1997.77.4.2115 |
0.143 |
|
1993 |
Houk JC, Keifer J, Barto AG. Distributed motor commands in the limb premotor network. Trends in Neurosciences. 16: 27-33. PMID 7679234 DOI: 10.1016/0166-2236(93)90049-R |
0.122 |
|
2008 |
Vigorito CM, Barto AG. Hierarchical representations of behavior for efficient creative search Aaai Spring Symposium - Technical Report. 135-141. |
0.114 |
|
2006 |
Şimşek O, Barto AG. An intrinsic reward mechanism for efficient exploration Acm International Conference Proceeding Series. 148: 833-840. DOI: 10.1145/1143844.1143949 |
0.108 |
|
2012 |
Da Silva BC, Barto AG. TD-δπ: A model-free algorithm for efficient exploration Proceedings of the National Conference On Artificial Intelligence. 2: 886-892. |
0.095 |
|
2014 |
Barto AG, Konidaris G, Vigorito C. Behavioral hierarchy: Exploration and representation Computational and Robotic Models of the Hierarchical Organization of Behavior. 13-46. DOI: 10.1007/978-3-642-39875-9_2 |
0.094 |
|
2010 |
Lewis RL, Singh S, Barto AG. Where do rewards come from? Proceedings of the International Symposium On Ai Inspired Biology - a Symposium At the Aisb 2010 Convention. 111-116. |
0.091 |
|
2001 |
Jonsson A, Barto AG. Automated state abstraction for options using the u-tree algorithm Advances in Neural Information Processing Systems. |
0.09 |
|
1991 |
Berthier NE, Barto AG, Moore JW. Linear systems analysis of the relationship between firing of deep cerebellar neurons and the classically conditioned nictitating membrane response in rabbits. Biological Cybernetics. 65: 99-105. PMID 1912007 DOI: 10.1007/Bf00202384 |
0.085 |
|
1990 |
Sinkjaer T, Wu CH, Barto AG, Houk JC. Cerebellar control of endpoint position--A simulation model Ijcnn. International Joint Conference On Neural Networks. 705-710. |
0.078 |
|
2012 |
Scott Acton D, Scott Knight J, Contos A, Grimaldi S, Terry J, Lightsey P, Barto A, League B, Dean B, Scott Smith J, Bowers C, Aronstein D, Feinberg L, Hayden W, Comeau T, et al. Wavefront sensing and controls for the james webb space telescope Proceedings of Spie - the International Society For Optical Engineering. 8442. DOI: 10.1117/12.925015 |
0.073 |
|
2008 |
Contos AR, Acton DS, Barto AA, Burns LA, Contreras J, Dean B, Elliott E, Feinberg L, Hansen K, Hardy B, Hayden W, Knight JS, Lightsey PA, Starr C, Sullivan J. Verification of the James Webb space telescope (JWST) wavefront sensing and control system Proceedings of Spie - the International Society For Optical Engineering. 7010. DOI: 10.1117/12.786984 |
0.069 |
|
2014 |
Porpora D, Wachs J, Barto A, Knight JS. Mirror placement optimization for the multi-segmented James Webb Space Telescope primary mirror Proceedings of Spie - the International Society For Optical Engineering. 9143. DOI: 10.1117/12.2054806 |
0.066 |
|
2012 |
Thomas PS, Barto AG. Motor primitive discovery 2012 Ieee International Conference On Development and Learning and Epigenetic Robotics, Icdl 2012. DOI: 10.1109/DevLrn.2012.6400845 |
0.066 |
|
2011 |
Niekum S, Barto AG. Clustering via Dirichlet process mixture models for portable skill discovery Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. |
0.064 |
|
2006 |
Contos AR, Acton DS, Atcheson PD, Barto AA, Lightsey PA, Shields DM. Bringing it all together: A unique approach to requirements for wave-front sensing and control on the James Webb Space Telescope (JWST) Proceedings of Spie - the International Society For Optical Engineering. 6271. DOI: 10.1117/12.669072 |
0.064 |
|
2002 |
Kositsky M, Barto AG. The emergence of multiple movement units in the presence of noise and feedback delay Advances in Neural Information Processing Systems. |
0.064 |
|
2010 |
Stout A, Barto AG. Competence progress intrinsic motivation 2010 Ieee 9th International Conference On Development and Learning, Icdl-2010 - Conference Program. 257-262. DOI: 10.1109/DEVLRN.2010.5578835 |
0.062 |
|
2010 |
Lightsey PA, Chaney D, Gallagher B, Brown B, Smith K, Lewis J, Barto A, Knight S, Acton S, Stewart C, Siegel N. Optical performance for the actively controlled James Webb Space Telescope Proceedings of Spie - the International Society For Optical Engineering. 7731. DOI: 10.1117/12.859091 |
0.061 |
|
2007 |
Vigorito CM, Ganesan D, Barto AG. Adaptive control of duty cycling in energy-harvesting wireless sensor networks 2007 4th Annual Ieee Communications Society Conference On Sensor, Mesh and Ad Hoc Communications and Networks, Secon. 21-30. DOI: 10.1109/SAHCN.2007.4292814 |
0.058 |
|
2006 |
Contos AR, Acton DS, Atcheson PD, Barto AA, Lightsey PA, Shields DM. Aligning and maintaining the optics for the James Webb Space Telescope (JWST) on-orbit: The wavefront sensing and control concept of operations Proceedings of Spie - the International Society For Optical Engineering. 6265. DOI: 10.1117/12.669067 |
0.054 |
|
2003 |
Dahl KL, Barto A, Bonfils A, Carasello M, Christopher J, Davis R, Erkkila N, Glander S, Jacobs B, Kendra V, Koski L, Majeski D, Mcconnell E, Petrie P, Siegel D, et al. Connecting developmental word study with classroom writing: Children's descriptions of spelling strategies Reading Teacher. 57: 310-319. |
0.054 |
|
2004 |
Barto AA, Lightsey PA. Optical performance modeling of the James Webb space telescope Proceedings of Spie - the International Society For Optical Engineering. 5487: 867-874. DOI: 10.1117/12.550088 |
0.052 |
|
2012 |
Scott Knight J, Scott Acton D, Lightsey P, Barto A. Integrated telescope model for the James Webb space telescope Proceedings of Spie - the International Society For Optical Engineering. 8449. DOI: 10.1117/12.926814 |
0.052 |
|
2012 |
Barto A, Acton DS, Finley P, Gallagher B, Hardy B, Knight JS, Lightsey P. Actuator usage and fault tolerance of the james webb space telescope optical element mirror actuators Proceedings of Spie - the International Society For Optical Engineering. 8442. DOI: 10.1117/12.924596 |
0.051 |
|
2007 |
Ravindran B, Barto AG, Mathew V. Deictic option schemas Ijcai International Joint Conference On Artificial Intelligence. 1023-1028. |
0.051 |
|
2014 |
Barto AG. Commentary on utility and bounds. Topics in Cognitive Science. 6: 338-41. PMID 24764141 DOI: 10.1111/tops.12090 |
0.048 |
|
2003 |
Ravindran B, Barto AG. SMDP homomorphisms: An algebraic approach to abstraction in semi-Markov decision processes Ijcai International Joint Conference On Artificial Intelligence. 1011-1016. |
0.047 |
|
2012 |
Scott Knight J, Scott Acton D, Lightsey P, Contos A, Barto A. Observatory alignment of the james webb space telescope Proceedings of Spie - the International Society For Optical Engineering. 8442. DOI: 10.1117/12.926816 |
0.042 |
|
2006 |
Jonsson A, Barto A. Causal graph based decomposition of factored MDPs Journal of Machine Learning Research. 7: 2259-2301. |
0.041 |
|
1979 |
Barto A. To seek tirelessly Soviet Studies in Literature. 15: 68-78. DOI: 10.2753/RSL1061-1975150268 |
0.04 |
|
2011 |
Thomas PS, Barto AG. Conjugate Markov decision processes Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 137-144. |
0.039 |
|
2002 |
Barto A, Heller S. Microscopic colitis. Identical clinical presentations of subtypes create diagnostic challenges. Postgraduate Medicine. 112: 69-70, 73-5. PMID 12462186 |
0.037 |
|
2004 |
Lightsey PA, Barto AA, Contreras J. Optical performance for the James Webb Space Telescope Proceedings of Spie - the International Society For Optical Engineering. 5487: 825-832. DOI: 10.1117/12.550091 |
0.037 |
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1997 |
Papka R, Callan JP, Barto AG. Text-based information retrieval using exponentiated gradient descent Advances in Neural Information Processing Systems. 3-9. |
0.037 |
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2005 |
Jonsson A, Barto A. A causal approach to hierarchical decomposition of factored MDPs Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 401-408. |
0.037 |
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2011 |
Feinberg LD, Barto A, Waldman M, Whitman T. James Webb space telescope system cryogenic optical test plans Proceedings of Spie - the International Society For Optical Engineering. 8150. DOI: 10.1117/12.892222 |
0.036 |
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2008 |
Barto AA, Atkinson C, Contreras J, Lightsey PA, Noecker C, Waldman M, Whitman T. Optical performance verification of the James Webb space telescope Proceedings of Spie - the International Society For Optical Engineering. 7010. DOI: 10.1117/12.790483 |
0.035 |
|
2013 |
Evans JW, Barto A, Gallagher B, Finley P, Samuel M, Burke J. Analysis and life testing for design of cryogenic bearing assemblies on the James Webb Space Telescope Optical Telescope Element Asme International Mechanical Engineering Congress and Exposition, Proceedings (Imece). 9. DOI: 10.1115/IMECE2013-62988 |
0.035 |
|
2010 |
Knight JS, Lightsey P, Barto A. Verification of the observatory integrated model for the JWST Proceedings of Spie - the International Society For Optical Engineering. 7738. DOI: 10.1117/12.858349 |
0.034 |
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2013 |
Juillerat P, Wasan SK, Fowler SA, Friedman S, Pabby VK, Coukas JA, Barto AE, Pellish R, Germansky KA, Cheifetz AS, Korzenik JR, Farraye FA, Yajnik V. Efficacy and safety of natalizumab in Crohn's disease patients treated at 6 Boston academic hospitals. Inflammatory Bowel Diseases. 19: 2457-63. PMID 23962896 DOI: 10.1097/MIB.0b013e3182a32a0d |
0.032 |
|
2014 |
Sageer M, Barto A. Recurrent Clostridium difficile infection: The scope of the problem and management decisions Seminars in Colon and Rectal Surgery. 25: 158-162. DOI: 10.1053/j.scrs.2014.05.012 |
0.031 |
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2007 |
Martinez K, Sullivan J, Barto A, Lewis J, Franck R, Dreher T, Shogrin B, Sokol J, Tandy W. Cryogenic design and predicted performance of the James webb space telescope beryllium aft optics subsystem optical bench Proceedings of Spie - the International Society For Optical Engineering. 6666. DOI: 10.1117/12.738609 |
0.028 |
|
2014 |
Navarro R, Barto AA, Cunningham CR. Introduction Proceedings of Spie - the International Society For Optical Engineering. 9151: xxxi-xxxii. DOI: 10.1117/12.2075321 |
0.026 |
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2009 |
Robson K, Barto A, Liberman RF. The evaluation of premenopausal women with anemia: what is the yield of gastrointestinal endoscopy? Digestive Diseases and Sciences. 54: 1667-71. PMID 19034654 DOI: 10.1007/s10620-008-0562-x |
0.022 |
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1979 |
Barto A. Children's responses to illustrations of poetry Childrens Literature in Education. 10: 11-17. DOI: 10.1007/BF01146581 |
0.022 |
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2006 |
McComas B, Rifelli R, Barto A, Contos A, Whitman T, Wells C, Hagopian J. Optical verification of the James Webb Space Telescope Proceedings of Spie - the International Society For Optical Engineering. 6271. DOI: 10.1117/12.672448 |
0.021 |
|
1978 |
Barto AG. A note on pattern reproduction in tessellation structures Journal of Computer and System Sciences. 16: 445-455. DOI: 10.1016/0022-0000(78)90029-6 |
0.02 |
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2012 |
Scott Knight J, Lightsey P, Barto A. Predicted JWST imaging performance Proceedings of Spie - the International Society For Optical Engineering. 8442. DOI: 10.1117/12.926817 |
0.02 |
|
2014 |
Kelly CR, Ihunnah C, Fischer M, Khoruts A, Surawicz C, Afzali A, Aroniadis O, Barto A, Borody T, Giovanelli A, Gordon S, Gluck M, Hohmann EL, Kao D, Kao JY, et al. Fecal microbiota transplant for treatment of Clostridium difficile infection in immunocompromised patients. The American Journal of Gastroenterology. 109: 1065-71. PMID 24890442 DOI: 10.1038/Ajg.2014.133 |
0.018 |
|
2014 |
Gallagher B, Knight S, Barto A, Thomes J, Ott M. JWST ASPA fiber optic development for testing at 2.12 μm Proceedings of Spie - the International Society For Optical Engineering. 9151. DOI: 10.1117/12.2055031 |
0.013 |
|
2003 |
Ravindran B, Barto AG. Relativized Options: Choosing the Right Transformation Proceedings, Twentieth International Conference On Machine Learning. 2: 608-615. |
0.012 |
|
2007 |
Barto A. Osteoporosis in IBD: building stronger patients. Inflammatory Bowel Diseases. 13: 1182-3. PMID 17476671 DOI: 10.1002/ibd.20170 |
0.011 |
|
2021 |
Barto A, Vandewalle KS, Lien W, Whang K. Repair of resin-veneered polyetheretherketone after veneer fracture. The Journal of Prosthetic Dentistry. PMID 33546855 DOI: 10.1016/j.prosdent.2020.10.020 |
0.01 |
|
2013 |
Justaniah AI, Molgaard C, Flacke S, Barto A, Iqbal S. Congenital inferior mesenteric arteriovenous malformation presenting with ischemic colitis: endovascular treatment. Journal of Vascular and Interventional Radiology : Jvir. 24: 1761-3. PMID 24160837 DOI: 10.1016/j.jvir.2013.05.064 |
0.01 |
|
2013 |
Kaimakliotis PZ, Barto AE, Sterling MJ. An uncommon cause of biliary obstruction. Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association. 11: A26. PMID 23103908 DOI: 10.1016/j.cgh.2012.10.030 |
0.01 |
|
2010 |
Knight JS, Lightsey P, Barto A, Acton DS. Image quality verification analysis of the JWST Proceedings of Spie - the International Society For Optical Engineering. 7738. DOI: 10.1117/12.858348 |
0.01 |
|
2009 |
Barto A, Call M, Jordan N, Rahimi M, Li Z. Realism and robustness in criticality safety for spent nuclear fuel transportation: A regulatory perspective American Nuclear Society - Nuclear Criticality Safety Division Topical Meeting On Realism, Robustness and the Nuclear Renaissance 2009. 352-360. |
0.01 |
|
2003 |
Barto A, Heller S. Microscopic colitis | Mikroskopik kolit Sendrom. 15: 47-51. |
0.01 |
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