Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization

Zongkai Liu, Qian Lin, Chao Yu +4

Offline Multi-Agent Reinforcement Learning (MARL) is an emerging field that aims to learn optimal multi-agent policies from pre-collected datasets. Compared to single-agent case, m…