2026
Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning
AAAI 2026technical
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 interference by irrel