Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States

Name: Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States
Uploaded: 2026-10-03T03:02:15.081602+00:00
Duration: 333 s
Description: The paper introduces POISE, an RL method that uses a lightweight probe trained online on a model's internal states to estimate value functions. This allows the system to predict expected rewards from hidden states, creating a stable baseline estimation method. This approach matches state-of-the-art performance while reducing computational requirements and improving learning stability.

The paper introduces POISE, an RL method that uses a lightweight probe trained online on a model's internal states to estimate value functions. This allows the system to predict expected rewards from hidden states, creating a stable baseline estimation method. This approach matches state-of-the-art performance while reducing computational requirements and improving learning stability.

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