Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning

1 code implementation • 2 Mar 2024 • Hyungho Na, Yunkyeong Seo, Il-Chul Moon

To address this, we introduce Efficient episodic Memory Utilization (EMU) for MARL, with two primary objectives: (a) accelerating reinforcement learning by leveraging semantically coherent memory from an episodic buffer and (b) selectively promoting desirable transitions to prevent local convergence.

Decoder Multi-agent Reinforcement Learning +4