The N Implementation Details of RLHF with PPO

Published: 16 Feb 2024, Last Modified: 28 Mar 2024BT@ICLR2024EveryoneRevisionsBibTeXCC BY 4.0
Keywords: Reinforcement learning from human feedback
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Abstract: Reinforcement Learning from Human Feedback (RLHF) is a pivotal technique for training modern language models such as ChatGPT. In this blog post, we explore OpenAI's first RLHF paper from 2019 and its accompanying open-source codebase, available at Our examination shows important implementation details of RLHF that are often overlooked. Moreover, we illustrate how to replicate OpenAI's original Tensorflow 1.0 implementation using contemporary PyTorch and JAX frameworks, offering a minimal reference implementation for RLHF.
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Id Of The Authors Of The Papers: ~Daniel_M_Ziegler1
Conflict Of Interest: None.
Submission Number: 2