Author

Rohan Chandra

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Preprint Aug 2026

Robust Data-Collection Policy Learning for Low-Variance Online Policy Evaluation

In reinforcement learning policy evaluation, classic on-policy methods often suffer from high variance when estimating policy performance. To mitigate this issue, behavior policy search has been proposed to learn data-collecting policies tailored to reduce online evaluation variance. However, these approaches do not ac...

Claire Chen, S. Liu, Licheng Luo et al. · 1 citation

#machine learning Preprint Sep 2026

Downstream-Aware Context Selection for Online In-Context Reinforcement Learning

In-context reinforcement learning (ICRL) enables large language model agents to adapt to new environments using their interaction history without updating model parameters. However, repeatedly conditioning on growing histories can lead to substantial token cost. We propose a bounded-history context-management framework...

Rui-Han A. Li, Shang-Tong Zhang, Rohan Chandra · 0 citations