arxiv
PublishedOctober 5, 2026 at 4:00 AM
CATCH: A Controllable Analysis Testbed for Reward Hacking in Coding RL
Publisher summary· verbatim
arXiv:2609.39533v3 Announce Type: replace Abstract: During reinforcement learning with verifiable rewards (RLVR), large language models (LLMs) can exploit loopholes in their environments to obtain high rewards without improving the intended capabilities, i.e., reward hacking. Despite its risks to tr
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Originally published on arxiv ↗