Castro, Pablo Samuel

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

Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks

Chevalier-Boisvert, M., Dai, B., Towers, M., Perez-Vicente, R., Willems, L., Lahlou, S., Pal, S., Castro, P. S., & Terry, J. (2023) · Advances in Neural Information Processing Systems 36

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 20

The Difficulty of Passive Learning in Deep Reinforcement Learning

Ostrovski, G., Castro, P. S., & Dabney, W. (2021) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 15

Bigger, Better, Faster: Human-level Atari with human-level efficiency

Schwarzer, M., Obando-Ceron, J., Courville, A., Bellemare, M., Agarwal, R., & Castro, P. S. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 9

The Dormant Neuron Phenomenon in Deep Reinforcement Learning

Sokar, G., Agarwal, R., Castro, P. S., & Evci, U. (2023) · arXiv

Reinforcement Learning in RoboticsNeural Networks and Applications

Cited by 8

Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks

Chevalier-Boisvert, M., Dai, B., Towers, M., de Lazcano, R., Willems, L., Lahlou, S., Pal, S., Castro, P. S., & Terry, J. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 4