Bowling, Michael

The Arcade Learning Environment: An Evaluation Platform for General Agents

Bellemare, M. G., Naddaf, Y., Veness, J., & Bowling, M. (2013) · Journal of Artificial Intelligence Research

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 2,161

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

Machado, M. C., Bellemare, M. G., Talvitie, E., Veness, J., Hausknecht, M., & Bowling, M. (2018) · Journal of Artificial Intelligence Research

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 359

The Arcade Learning Environment: An Evaluation Platform for General Agents

Bellemare, M. G., Naddaf, Y., Veness, J., & Bowling, M. (2012) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 187

Generalization and Regularization in DQN

Farebrother, J., Machado, M. C., & Bowling, M. (2018) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 92

Count-based exploration with the successor representation

Machado, M. C., Bellemare, M. G., & Bowling, M. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 19

Settling the Reward Hypothesis

Bowling, M., Martin, J. D., Abel, D., & Dabney, W. (2022) · arXiv

Reinforcement Learning in RoboticsPsychiatry, Mental Health, Neuroscience

Cited by 4

Agency Is Frame-Dependent

Abel, D., Barreto, A., Bowling, M., Dabney, W., Dong, S., Hansen, S., Harutyunyan, A., Khetarpal, K., Lyle, C., Pascanu, R., et al. (2025) · arXiv

Philosophy of Biology and Scientific ExplanationEmbodied and Extended Cognition

Cited by 0