Jing Huo

Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Exploration is critical for cooperative multi agent reinforcement learning (MARL) to improve sample efficiency. However, existing intrinsic motivation based exploration strategies in MARL overlook the causal relationships among agents, global states, and rewards, suffering from …