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News/In-Context Reinforcement Learning under Non-Stationarity: A Survey
arxiv
PublishedJuly 15, 2026 at 4:00 AM
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In-Context Reinforcement Learning under Non-Stationarity: A Survey

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arXiv:2607.11906v1 Announce Type: new Abstract: The development of decision-pretrained transformers, algorithm distillation, long-context meta-RL, and retrieval-augmented agents has renewed interest in in-context reinforcement learning (ICRL): the ability of a pretrained or fine-tuned decision model

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