Enhancing Sample Efficiency in Multi-Agent RL with Uncertainty Quantification and Selective Exploration

Tom Danino, Nahum Shimkin

Multi-agent reinforcement learning (MARL) methods have achieved state-of-the-art results on a range of multi-agent tasks. Yet, MARL algorithms typically require significantly more…