info-driven-policy-optimization-agents

【效率与协作】Optimize multi-turn agent policies by measuring turn-level information gain via counterfactual reasoning. Provide dense reward signals identifying which clarifying questions and observations improve the agent's decision distribution, then adaptively blend information rewards with outcome rewards.

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