Benjamin Black

Parameter Sharing is Surprisingly Useful for Multi-Agent Deep Reinforcement Learning.

2020 · arXiv (Cornell University)

Nonstationarity is a fundamental problem in cooperative multi-agent reinforcement learning (MARL)--each agent must relearn information about the other agent's policies due to the other agents learning, causing information to ring between agents and convergence to …