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20222026
most citedPolicy Gradients for Probabilistic Constrained Reinforcement Learning

6 citations · 9 across the 8 of their papers we have counts for

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stat.ML2026

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

Weiqin Chen, Xinlong Du, Gesualdo Scutari +1

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…