REINFORCE++: An Efficient RLHF Algorithm with Robustness to Both Prompt and Reward Models
FreeAn Efficient RLHF Algorithm with Robustness to Both Prompt and Reward Models
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About REINFORCE++: An Efficient RLHF Algorithm with Robustness to Both Prompt and Reward Models
REINFORCE++ is an efficient reinforcement learning from human feedback (RLHF) algorithm designed to be robust to both prompt variations and reward model inaccuracies. It is presented in an academic research paper and is available as an open-source tool.
Key Features
Robustness to prompt variations
Robustness to reward model inaccuracies
Efficient reinforcement learning from human feedback