ARC improves fairness in group-based RL for open-ended agents
ant-intl · hf · 2026-08-25
ARC (Fair Relative Advantage Comparison) improves fairness in group-based reinforcement learning for open-ended agents. By conditioning rollout comparisons on strategy, ARC enables more context-appropriate behavior in responsive user-agent interactions, addressing relative advantage evaluation biases in multi-agent systems.
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