Bellemare, Marc G.

Human-level control through deep reinforcement learning

Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A., Riedmiller, M., Fidjeland, A. K., Ostrovski, G., et al. (2015) · Nature

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 30,357

Distributional Reinforcement Learning With Quantile Regression

Dabney, W., Rowland, M., Bellemare, M., & Munos, R. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 612

An introduction to deep reinforcement learning

François-Lavet, V., Henderson, P., Islam, R., Bellemare, M. G., & Pineau, J. (2018) · now publishers, Inc. eBooks

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 544

Count-Based Exploration with Neural Density Models

Ostrovski, G., Bellemare, M. G., Oord, A. V. D., & Munos, R. (2017) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 377

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

Unifying Count-Based Exploration and Intrinsic Motivation

Bellemare, M. G., Srinivasan, S., Ostrovski, G., Schaul, T., Saxton, D., & Munos, R. (2016) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 264

The Cramer Distance as a Solution to Biased Wasserstein Gradients

Bellemare, M. G., Danihelka, I., Dabney, W., Mohamed, S., Lakshminarayanan, B., Hoyer, S., & Munos, R. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisGeometric Analysis and Curvature Flows

Cited by 223

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

Deep Reinforcement Learning at the Edge of the Statistical Precipice

Agarwal, R., Schwarzer, M., Castro, P. S., Courville, A., & Bellemare, M. G. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 142

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