rllm

rLLM is an open-source framework designed to train reinforcement learning AI agents. It addresses the issue of requiring extensive code modifications when training agents across different frameworks by supporting multiple existing agent frameworks and enabling automatic tracking and reward function definition with minimal code changes. Users can quickly get started with rLLM via command line or Python API to evaluate and train models. It is ideal for researchers and developers looking to simplify the reinforcement learning process.