Xiaozhi Wang
1 indexed paper
Recent (6 mo)
1With code
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126
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ML×1AI×1NLP×1
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2026
Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning
This paper introduces CHERRL, a controllable hacking environment for rubric-based reinforcement learning to study and mitigate reward hacking.
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Papers
cs.LGcs.AIcs.CLRecentJun 3, 2026
Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning
Xuekang Wang, Zhuoyuan Hao, Shuo Hou, Hao Peng +2 more
This paper introduces CHERRL, a controllable hacking environment for rubric-based reinforcement learning to study and mitigate reward hacking.
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