Coopetition-Gym v1 provides twenty calibrated environments for mixed-motive MARL with parameterized private/integrated/cooperative rewards, game-theoretic oracles, and validation against four historical coopetitive cases at 81-98% accuracy.
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Coopetition-Gym v1: A Formally Grounded Platform for Mixed-Motive Multi-Agent Reinforcement Learning under Strategic Coopetition
Coopetition-Gym v1 provides twenty calibrated environments for mixed-motive MARL with parameterized private/integrated/cooperative rewards, game-theoretic oracles, and validation against four historical coopetitive cases at 81-98% accuracy.