WangSl2004/CATCH-RL

CATCH RL CATCH-RL provides coding tasks for reinforcement learning with verifiable rewards (RLVR). It wraps algorithmic problems from DeepCoder into writable software-engineering (SWE) repositories with controlled evaluation loopholes. Researchers can use these tasks to study reward hacking and evaluate detection and mitigation methods throughout training. Paper: CATCH: A Controllable Analysis Testbed for Reward Hacking in Coding RL. Code: THUAIS-Lab/CATCH. Source dataset:… See the full description on the dataset page: https://huggingface.co/datasets/WangSl2004/CATCH-RL.

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