Christian A. Schroeder de Witt
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Artificial Intelligence in Games, Mosquito-borne diseases and control, Software Engineering Research, Experimental Behavioral Economics Studies
Most-Cited Works
- → FACMAC: Factored Multi-Agent Centralised Policy Gradients(2020)106 cited
- → Multi-Agent Common Knowledge Reinforcement Learning(2018)51 cited
- AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning(2020)
- → Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning(2020)15 cited
- → A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable\n Settings(2021)