Group Relative Policy Optimization Loss

Medium · Solved in PyTorch · Machine learning coding practice

Problem

Implement the GRPO (Group Relative Policy Optimization) loss function, an efficient RL algorithm for aligning language models using group-based reward baselines and relative advantages.

Topics: rlhf, reinforcement-learning, loss-functions

The full statement, worked examples, hints and the test suite are available once you sign in. You can then solve Group Relative Policy Optimization Loss in the browser and run it against the tests.

Related problems