Preventing undesirable behavior of intelligent machines von Thomas, Philip S, Castro da Silva, Bruno, Barto, Andrew G, Giguere, Stephen, Brun, Yuriy, Brunskill, Emma

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Learning grounded finite-state representations from unstructured demonstrations von Niekum, Scott, Osentoski, Sarah, Konidaris, George, Chitta, Sachin, Marthi, Bhaskara, Barto, Andrew G.

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Enriching behavioral ecology with reinforcement learning methods von Frankenhuis, Willem E., Panchanathan, Karthik, Barto, Andrew G.

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Intrinsically Motivated Hierarchical Skill Learning in Structured Environments von Vigorito, Christopher M, Barto, Andrew G

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A Computational Model of Muscle Recruitment for Wrist Movements von Fagg, Andrew H, Shah, Ashvin, Barto, Andrew G

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Looking Back on the Actor-Critic Architecture von Barto, Andrew G., Sutton, Richard S., Anderson, Charles W.

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Cortical Involvement in the Recruitment of Wrist Muscles von Shah, Ashvin, Fagg, Andrew H, Barto, Andrew G

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Effect on movement selection of an evolving sensory representation: A multiple controller model of skill acquisition von Shah, Ashvin, Barto, Andrew G

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Linear Least-Squares algorithms for temporal difference learning von Bradtke, Steven J., Barto, Andrew G.

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Elevator Group Control Using Multiple Reinforcement Learning Agents von Crites, Robert H, Barto, Andrew G

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Genetic Programming for Reward Function Search von Niekum, Scott, Barto, Andrew G, Spector, Lee

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Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks von Jacobs, Robert A., Jordan, Michael I., Barto, Andrew G.

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Toward a modern theory of adaptive networks: Expectation and prediction von Sutton, Richard S, Barto, Andrew G

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Reinforcement learning with analogue memristor arrays von Wang, Zhongrui, Li, Can, Song, Wenhao, Rao, Mingyi, Belkin, Daniel, Li, Yunning, Yan, Peng, Jiang, Hao, Lin, Peng, Hu, Miao, Strachan, John Paul, Ge, Ning, Barnell, Mark, Wu, Qing, Barto, Andrew G., Qiu, Qinru, Williams, R. Stanley, Xia, Qiangfei, Yang, J. Joshua

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A Cerebellar Model of Timing and Prediction in the Control of Reaching von Barto, Andrew G., Fagg, Andrew H., Sitkoff, Nathan, Houk, James C.

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Learning Skills in Reinforcement Learning Using Relative Novelty von Şimşek, Özgür, Barto, Andrew G.

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Distributed motor commands in the limb premotor network von HOUK, J. C, KEIFER, J, BARTO, A. G

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The emergence of movement units through learning with noisy efferent signals and delayed sensory feedback von Kositsky, Michael, Barto, Andrew G

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Model Minimization in Hierarchical Reinforcement Learning von Ravindran, Balaraman, Barto, Andrew G.

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Functional mechanisms of motor skill acquisition von Shah, Ashvin, Barto, Andrew G

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