DAPO: Clip-Higher Policy Optimization Loss

Medium · Solved in PyTorch · Machine learning coding practice

Problem

Implement the DAPO (Clip and Dynamic Sampling Policy Optimization)(Yu et,al 2025) loss function, a state-of-the-art reinforcement learning method for training language models on reasoning tasks. Unlike traditional PPO, DAPO uses a Clip-Higher mechanism to promote diversity and prevent entropy collapse during long chain-of-thought reasoning.

Topics: reinforcement-learning, rlhf, policy-optimization, loss-functions

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