Cooperative Multi-Agent Reinforcement Learning via Epigraph-Form Guided Exploration
EFXPLORER is proposed, a constrained exploration framework that maximizes exploration objectives subject to a constraint that preserves established task performance and incorporates a successor distance-based intrinsic reward that captures long-horizon dependencies.
Sungil Son, Hoseong Jung, Dahyun Oh et al.
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