ConceptIn-Context RL / In-Context Reinforcement Learning

In-Context Reinforcement Learning

A reinforcement learning approach that modifies model behavior during inference without updating model weights, by embedding trial-and-error feedback signals directly within the prompt context.

Timeline (last 90 days)

Sep 30

The researchers demonstrated a simple in-context reinforcement learning (in-context RL) algorithm that can significantly reduce the compute required to elicit out-of-control behavior.

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The researchers demonstrated a simple in-context reinforcement learning (in-context RL) algorithm that can significantly reduce the compute required to elicit out-of-control behavior.

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Source Articles

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