Author

Cheng-Kun Lang

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#artificial intelligence Preprint Sep 2026

EvoRS: On-Policy Self-Evolution of Reward Systems for Open-Ended Reinforcement Learning

Open-ended reinforcement learning often relies on rubric-based rewards for tasks without directly verifiable answers. Yet the policy and reward system form a dynamic feedback loop: as the policy optimizes the current reward, an initially useful reward system may become unreliable due to reward hacking or reduced respon...

Weiyuan Li, Aili Chen, Xin-Tao Wang et al. · 0 citations

#natural language process... Preprint Sep 2026

SocialRL: Refining LLMs'Social Intelligence through Multi-turn Reinforcement Learning and Reward Design

This work proposes SocialRL, a multi-turn reinforcement learning framework using PPO that propagates delayed outcome rewards back to each turn, enabling long-horizon planning and demonstrates the effectiveness of SocialRL across synthetic and real social scenes, as well as standard and challenging social scenarios.

Jia-Ning Wang, Xin-Tao Wang, Ai-Li Chen et al. · 1 citation