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Turnover-Orthogonal Credit Assignment for Open-Team Multi-Agent Reinforcement Learning
Open-team multi-agent reinforcement learning studies cooperative systems in which agents may join, leave, or be replaced during an episode. In such settings, the team return changes both because agents choose useful actions and because the active population itself changes. Standard centralized criti
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