TAO-RL improves agentic RL by filtering degenerate trajectories and reshaping advantages with tool-aware entropy bonuses, yielding better performance on reasoning benchmarks.
Et-agent: Incentivizing effective tool- integrated reasoning agent via behavior calibration,
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Tool-Aware Optimization with Entropy Guidance for Efficient Agentic Reinforcement Learning
TAO-RL improves agentic RL by filtering degenerate trajectories and reshaping advantages with tool-aware entropy bonuses, yielding better performance on reasoning benchmarks.