Degris, Thomas

Deep Reinforcement Learning in Large Discrete Action Spaces

Dulac-Arnold, G., Evans, R., van Hasselt, H., Sunehag, P., Lillicrap, T., Hunt, J., Mann, T., Weber, T., Degris, T., & Coppin, B. (2015) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 290

Model-Free reinforcement learning with continuous action in practice

Degris, T., Pilarski, P. M., & Sutton, R. S. (2012) · 2012 American Control Conference (ACC)

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 239

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