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News/Is In-Context Reinforcement Learning A Posterior Sampler? An Empirical Study
arxiv
PublishedOctober 22, 2026 at 4:00 AM

Is In-Context Reinforcement Learning A Posterior Sampler? An Empirical Study

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arXiv:2610.28977v1 Announce Type: cross Abstract: In-context reinforcement learning (ICRL) exploits the impressive in-context learning ability of large language models to zero-shot generalize to new, unseen tasks at inference time without any parameter updates. Among many approaches, the Decision-Pr

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