PhoenX RL empowers RL enthusiasts and engineers to rapidly prototype and test agents in Gymnasium and Isaac Sim environments. With seamless PyTorch, Ray, and W&B integration, it accelerates the development of intelligent agents.
Explore on GitHubAdjust algorithms and hyperparameters to optimize performance.
Speed up experiments with distributed training.
Fine-tune agents for any environment using Ray Tune.
Monitor performance in real-time and save models with W&B.
Improve learning with prioritized replay buffers.
Train and evaluate agents in customizable environments.
Leverage GPU Support for faster training.