| Reinforcement learning: An introduction RS Sutton, AG Barto MIT press, 2018 | 70458 | 2018 |
| Introduction to reinforcement learning D Ernst, A Louette | 5771 | 2024 |
| Neuronlike adaptive elements that can solve difficult learning control problems AG Barto, RS Sutton, CW Anderson IEEE transactions on systems, man, and cybernetics, 834-846, 1983 | 5026 | 1983 |
| Toward a modern theory of adaptive networks: expectation and prediction. RS Sutton, AG Barto Psychological review 88 (2), 135, 1981 | 1830 | 1981 |
| Recent advances in hierarchical reinforcement learning AG Barto, S Mahadevan Discrete event dynamic systems 13, 341-379, 2003 | 1702 | 2003 |
| Learning to act using real-time dynamic programming AG Barto, SJ Bradtke, SP Singh Artificial intelligence 72 (1-2), 81-138, 1995 | 1644 | 1995 |
| Introduction to reinforcement learning. Vol. 135 RS Sutton, AG Barto MIT press Cambridge 5, 21-22, 1998 | 1085 | 1998 |
| Intrinsically motivated reinforcement learning N Chentanez, A Barto, S Singh Advances in neural information processing systems 17, 2004 | 1019 | 2004 |
| Linear least-squares algorithms for temporal difference learning SJ Bradtke, AG Barto Machine learning 22 (1), 33-57, 1996 | 991 | 1996 |
| Handbook of learning and approximate dynamic programming J Si, AG Barto, WB Powell, D Wunsch John Wiley & Sons, 2004 | 967 | 2004 |
| Improving elevator performance using reinforcement learning R Crites, A Barto Advances in neural information processing systems 8, 1995 | 895 | 1995 |
| A model of how the basal ganglia generate and use neural signals that predict reinforcement JC Houk, JL Adams, AG Barto | 874 | 1994 |
| Reinforcement learning is direct adaptive optimal control RS Sutton, AG Barto, RJ Williams IEEE control systems magazine 12 (2), 19-22, 1992 | 811 | 1992 |
| Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks RA Jacobs, MI Jordan, AG Barto Cognitive science 15 (2), 219-250, 1991 | 795 | 1991 |
| Time-derivative models of pavlovian reinforcement. RS Sutton, AG Barto The MIT Press, 1990 | 792 | 1990 |
| Reinforcement learning: An introduction by Richards’ Sutton AG Barto SIAM Rev 6 (2), 423, 2021 | 746 | 2021 |
| Adaptive critics and the basal ganglia AG Barto | 730 | 1994 |
| Learning and sequential decision making AG Barto, RS Sutton, C Watkins University of Massachusetts, 1989 | 657 | 1989 |
| Automatic discovery of subgoals in reinforcement learning using diverse density A McGovern, AG Barto | 641 | 2001 |
| Adaptive control of duty cycling in energy-harvesting wireless sensor networks CM Vigorito, D Ganesan, AG Barto 2007 4th Annual IEEE communications society conference on sensor, mesh and …, 2007 | 569 | 2007 |
| Intrinsically motivated learning of hierarchical collections of skills AG Barto, S Singh, N Chentanez Proceedings of the 3rd International Conference on Development and Learning …, 2004 | 560 | 2004 |
| Intrinsically motivated reinforcement learning: An evolutionary perspective S Singh, RL Lewis, AG Barto, J Sorg IEEE Transactions on Autonomous Mental Development 2 (2), 70-82, 2010 | 553 | 2010 |
| Pattern-recognizing stochastic learning automata AG Barto, P Anandan IEEE Transactions on Systems, Man, and Cybernetics, 360-375, 1985 | 510 | 1985 |
| Adaptive linear quadratic control using policy iteration SJ Bradtke, BE Ydstie, AG Barto Proceedings of 1994 American Control Conference-ACC'94 3, 3475-3479, 1994 | 496 | 1994 |
| Reinforcement learning: an introduction MIT Press RS Sutton, AG Barto Cambridge, MA 22447, 1998 | 476 | 1998 |
| Connectionist learning for control: An overview AG Barto | 451 | 1991 |
| Novelty or surprise? A Barto, M Mirolli, G Baldassarre Frontiers in psychology 4, 61898, 2013 | 424 | 2013 |
| Elevator group control using multiple reinforcement learning agents RH Crites, AG Barto Machine learning 33, 235-262, 1998 | 409 | 1998 |
| Associative search network: A reinforcement learning associative memory AG Barto, RS Sutton, PS Brouwer Biological cybernetics 40, 201-211, 1981 | 386 | 1981 |
| Robot learning from demonstration by constructing skill trees G Konidaris, S Kuindersma, R Grupen, A Barto The International Journal of Robotics Research 31 (3), 360-375, 2012 | 373 | 2012 |
| Skill discovery in continuous reinforcement learning domains using skill chaining G Konidaris, A Barto Advances in neural information processing systems 22, 2009 | 369 | 2009 |
| Intrinsic motivation and reinforcement learning AG Barto Intrinsically motivated learning in natural and artificial systems, 17-47, 2013 | 364 | 2013 |
| Identifying useful subgoals in reinforcement learning by local graph partitioning Ö Şimşek, AP Wolfe, AG Barto Proceedings of the 22nd international conference on Machine learning, 816-823, 2005 | 337 | 2005 |
| Building Portable Options: Skill Transfer in Reinforcement Learning. GD Konidaris, AG Barto Ijcai 7, 895-900, 2007 | 334 | 2007 |
| G and others,“ RS Sutton, A Barto Introduction to reinforcement learning 135, 1998 | 334 | 1998 |
| Models of the cerebellum and motor learning JC Houk, JT Buckingham, AG Barto Behavioral and brain sciences 19 (3), 368-383, 1996 | 319 | 1996 |
| Reinforcement learning AG Barto Neural systems for control, 7-30, 1997 | 315* | 1997 |
| Reinforcement learning with analogue memristor arrays Z Wang, C Li, W Song, M Rao, D Belkin, Y Li, P Yan, H Jiang, P Lin, M Hu, ... Nature electronics 2 (3), 115-124, 2019 | 304 | 2019 |
| Learning by statistical cooperation of self-interested neuron-like computing elements AG Barto Human Neurobiology 4 (4), 229-256, 1985 | 302 | 1985 |
| A temporal-difference model of classical conditioning RS Sutton, AG Barto Proceedings of the ninth annual conference of the cognitive science society …, 1987 | 297 | 1987 |
Richard S. SuttonKeen, Amii, and University of AlbertaVerified email at richsutton.com
