On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents | ScienceToStartup | ScienceToStartup

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References (28)

[1]

T3: Reducing Belief Deviation in Reinforcement Learning for Active Reasoning

2025Deyu Zou, Yongqiang Chen et al.

[2]

Beyond Outcome Reward: Decoupling Search and Answering Improves LLM Agents

2025Yiding Wang, Zhepei Wei et al.

[3]

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

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"A novel reinforcement learning approach to enhance LLM agents' active reasoning by mitigating information self-locking."

Reinforcement Learning•Score: 7•View PDF ↗

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On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents

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References (28)

Founder's Pitch

"A novel reinforcement learning approach to enhance LLM agents' active reasoning by mitigating information self-locking."

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On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents

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References (28)

Founder's Pitch

"A novel reinforcement learning approach to enhance LLM agents' active reasoning by mitigating information self-locking."

Commercial Viability Breakdown

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