Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning

Wendelin Böhmer, Tabish Rashid, Shimon Whiteson

This paper investigates the use of intrinsic reward to guide exploration in multi-agent reinforcement learning. We discuss the challenges in applying intrinsic reward to multiple c…