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Yuheng Pan

2 accepted papers

2026

Boosting World Models Learning via Latent-Space Value Alignment

Xingyu Jiang, Yuheng Pan, Mukang You, Xiuhui Zhang, Ning Gao, Guanwei Yan +2
ICML 2026poster

Model-based reinforcement learning aims to construct world models for efficient sampling. Current mainstream algorithms can be broadly categorized into two paradigms: maximum likelihood and value-aware world models. The former employs structured Recurrent/Transformer State-Space Models to capture en…

Cited by 0Source ↗Scholar ↗
2025

Progress Reward Model for Reinforcement Learning via Large Language Models

Xiuhui Zhang, Ning Gao, Xingyu Jiang, Yihui Chen, Yuheng Pan, Mohan Zhang +1
NeurIPS 2025poster

Traditional reinforcement learning (RL) algorithms face significant limitations in handling long-term tasks with sparse rewards. Recent advancements have leveraged large language models (LLMs) to enhance RL by utilizing their world knowledge for task planning and reward generation. However, planni…

Cited by 0Source ↗Scholar ↗