Modayil, Joseph

Rainbow: Combining Improvements in Deep Reinforcement Learning

Hessel, M., Modayil, J., Van Hasselt, H., Schaul, T., Ostrovski, G., Dabney, W., Horgan, D., Piot, B., Azar, M., & Silver, D. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 1,846

Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction

Sutton, R. S., Modayil, J., Delp, M., Degris, T., Pilarski, P. M., White, A., & Precup, D. (2011) · International Joint Conference on Autonomous Agents and Multiagent Systems

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 15

Loss of Plasticity in Continual Deep Reinforcement Learning

Abbas, Z., Zhao, R., Modayil, J., White, A., & Machado, M. C. (2023) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 10