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News/Bridging Risk Approximation Gaps in Model Predictive Task Sampling via In-Context Modeling
arxiv
PublishedOctober 15, 2026 at 4:00 AM

Bridging Risk Approximation Gaps in Model Predictive Task Sampling via In-Context Modeling

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arXiv:2610.14913v1 Announce Type: new Abstract: Reinforcement learning (RL) is essential for adaptive decision-making, e.g., robust Meta-RL and domain randomization (DR), and efficient post-training of large language models (LLMs), where tasks are commonly structured as Markov decision processes or

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