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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critband delivers the first cohesive Python implementation of Silverman's critical bandwidth bimodality test with k-mode detection, component decomposition, and benchmarked performance gains over R's modetest.
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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.
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critband: A Python Package for Critical Bandwidth Analysis of Multimodal Distributions
critband delivers the first cohesive Python implementation of Silverman's critical bandwidth bimodality test with k-mode detection, component decomposition, and benchmarked performance gains over R's modetest.