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Tag: #multiagent-rl1 results

COffeE-PSRO for Offline Multiagent RL

COffeE-PSRO for Offline Multiagent RL

COffeE-PSRO extends PSRO for offline multiagent games by quantifying dynamics uncertainty and applying conservatism from offline RL to favor low-regret equilibria. It introduces a meta-strategy solver for offline exploration. Experiments show it extracts lower-regret solutions than state-of-the-art offline methods.