Author

Chengchun Shi

2 papers indexed here

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Preprint Aug 2026

A Distribution Mapping Approach to Counterfactually Fair Reinforcement Learning

Reinforcement learning (RL) seeks to optimize sequential decisions to maximize population-level benefits over time. However, when deployed in high-stakes settings such as healthcare, RL decisions might systematically restrict some subpopulation's access to valuable services in a manner contrary to the values and goals...

Jianhan Zhang, Jitao Wang, John D. Piette et al. · 0 citations

#machine learning May 2026

BASIS: Batchwise Advantage Estimation from Single-Rollout Information Sharing for LLM Reasoning

BASIS, a critic-free post-training algorithm designed to address the tradeoff between computational efficiency and sample efficiency in value estimation and policy learning, achieves performance close to multi-rollout GRPO-type baselines and often outperforms single-rollout REINFORCE-type baselines.

Shi-Jin Gong, Erhan Xu, Kai Ye et al. · arXiv.org · 2 citations