2026
TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference
AAAI 2026technical
Exploration in sparse-reward tasks remains a fundamental challenge in multi-agent reinforcement learning (MARL) due to complex inter-agent interactions and the expansive exploration space. To address this issue, we propose Targeted Multi-Agent Exploration (TMAE), a novel framework that uncovers the