Agentic Entropy-Balanced Policy Optimization
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Agentic Entropy-Balanced Policy Optimization
Agentic Entropy-Balanced Policy Optimization Abstract: Recently, Agentic Reinforcement Learning (Agentic RL) has made significant progress in incentivizing the multi-turn, long-horizon tool-use capabilities of web agents. While mainstream agentic RL algorithms autonomously explore high-uncertainty tool-call steps under the guidance of entropy ...
1 month ago
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