Author

Yong-Chang Hao

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#machine learning Preprint Sep 2026

RMB: Reward Model Boosting Mitigates Reward Hacking

Reinforcement Learning from Human Feedback (RLHF) is a powerful technique for aligning large language models (LLMs) with human preference. However, it often suffers from the reward hacking issue, where policy optimization improves the proxy reward model while actually degrading performance with respect to the true huma...

Jia-Bin Fan, De-Zhi Ye, Yong-Chang Hao et al. · 0 citations

VEG: Verbal ϵ -greedy for Semantic Exploration in Multi-Turn RL Agents

This work proposes VEG (verbal ϵ -greedy), a novel framework that leverages external feedback as a dynamic control variable to explicitly balance exploration and exploitation within the semantic space and achieves superior accuracy compared to standard RL baselines.

Yongchang Hao, Jie Hao, Yongsheng Mei et al. · 0 citations