Andrew Barto - Related publications

Affiliations: 
University of Massachusetts, Amherst, Amherst, MA 
Area:
Reinforcement Learning
Website:
http://www-anw.cs.umass.edu/~barto/
NOTE: We are testing a new system for identifying relevant work based on semantic analysis that identifies similarities between recently published papers and the current author's publications. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches.
11 most relevant papers in past 60 days:
Year Citation  Score
2021 Zhong S, Zhou J, Qiao H. Bioinspired Gain-Modulated Recurrent Neural Network for Controlling Musculoskeletal Robot. Ieee Transactions On Neural Networks and Learning Systems. PMID 33861712 DOI: 10.1109/TNNLS.2021.3071196   
2021 Maurer LK, Joch M, Hegele M, Maurer H, Müller H. Relevance of predictive and postdictive error information in the course of motor learning. Neuroscience. PMID 34000321 DOI: 10.1016/j.neuroscience.2021.05.007   
2021 Weidel P, Duarte R, Morrison A. Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks. Frontiers in Computational Neuroscience. 15: 543872. PMID 33746728 DOI: 10.3389/fncom.2021.543872   
2021 Margraf L, Krause D, Weigelt M. Valence-dependent neural correlates of augmented feedback processing in extensive motor sequence learning - Part II: Predictive value of event-related potentials for behavioral adaptation and learning. Neuroscience. PMID 33945795 DOI: 10.1016/j.neuroscience.2021.04.018   
2021 Ikegami T, Ganesh G, Gibo TL, Yoshioka T, Osu R, Kawato M. Hierarchical motor adaptations negotiate failures during force field learning. Plos Computational Biology. 17: e1008481. PMID 33872304 DOI: 10.1371/journal.pcbi.1008481   
2021 Nguyen P, Loveland D, Kim JT, Karande P, Hiszpanski AM, Han TY. Predicting Energetics Materials' Crystalline Density from Chemical Structure by Machine Learning. Journal of Chemical Information and Modeling. PMID 33899482 DOI: 10.1021/acs.jcim.0c01318   
2021 Liu Y, Shen D. An efficient algorithm for collaborative learning model predictive control of nonlinear systems. Isa Transactions. PMID 33845999 DOI: 10.1016/j.isatra.2021.03.039   
2021 Wang S, Chen Z, Du S, Lin Z. Learning Deep Sparse Regularizers with Applications to Multi-View Clustering and Semi-Supervised Classification. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 34018930 DOI: 10.1109/TPAMI.2021.3082632   
2021 Bera K, Shukla A, Bapi RS. Cognitive and Motor Learning in Internally-Guided Motor Skills. Frontiers in Psychology. 12: 604323. PMID 33897525 DOI: 10.3389/fpsyg.2021.604323   
2021 Budd S, Robinson EC, Kainz B. A survey on active learning and human-in-the-loop deep learning for medical image analysis. Medical Image Analysis. 71: 102062. PMID 33901992 DOI: 10.1016/j.media.2021.102062   
2021 Frömer R, Nassar MR, Bruckner R, Stürmer B, Sommer W, Yeung N. Response-based outcome predictions and confidence regulate feedback processing and learning. Elife. 10. PMID 33929323 DOI: 10.7554/eLife.62825