Implementation of RLVR and GRPO

A user has shared a link on Reddit to a GitHub repository containing a code notebook for the from-scratch implementation of RLVR with GRPO. The notebook provides a practical example of how these algorithms can be developed.

Repository Details

The GitHub repository, accessible via the provided link, contains the source code and resources needed to replicate the implementation. This type of resource is particularly useful for students, researchers, and technicians who want to fully understand the operation of RLVR and GRPO, starting from the basics.

General Context

Reinforcement learning (RL) is a machine learning paradigm in which an agent learns to make decisions in an environment to maximize a reward. RLVR and GRPO are specific techniques used in this field to improve the performance and stability of learning.