DadgogoAI Dictionary

Dictionary entry

in-context reinforcement learning

noun

also ICRL or in-context RL

Definition of in-context reinforcement learning

  1. : the ability of a sequence model or agent to improve its behavior during interaction by using earlier observations, actions, and rewards in its context, without updating the model's parameters

    • The agent demonstrated in-context reinforcement learning when it changed strategy after seeing which earlier actions earned rewards.
    • ICRL let one pretrained policy adapt to a new task from its interaction history instead of starting a new gradient-based training run.
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Origin & history

first known use2022

The phrase was established by the 2022 paper In-context Reinforcement Learning with Algorithm Distillation. That work trained a causal sequence model on reinforcement-learning histories so it could reproduce policy improvement within its context at inference time, without changing its weights.

Editorial references

Sources & further reading

3 sources
  1. In-context Reinforcement Learning with Algorithm Distillation Research Paper · arXiv · 2022-10-25
  2. A Survey of In-Context Reinforcement Learning Research Survey · arXiv · 2025-02-12
  3. In-Context Reinforcement Learning under Non-Stationarity: A Survey Research Survey · arXiv · 2026-07

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Cite this entry

"In-context reinforcement learning." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/in-context-reinforcement-learning/. Accessed 15 Oct. 2026.

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