Value-incentivized exploration via best-response values gives near-optimal regret for NE/CCE in linear-model Markov games without explicit uncertainty bonuses.
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Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games
Value-incentivized exploration via best-response values gives near-optimal regret for NE/CCE in linear-model Markov games without explicit uncertainty bonuses.