Download
rl_games is a high-performance reinforcement learning framework optimized for GPU-based training, particularly in environments like robotics and continuous control tasks. It supports advanced algorithms and is built with PyTorch.
Features
- Implements high-performance RL algorithms optimized for GPUs
- Supports Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC)
- Designed for robotics, continuous control, and physics-based simulations
- Compatible with Isaac Gym for large-scale parallelized RL
- Includes training scripts for efficient experimentation
Project Samples
Categories
Reinforcement Learning FrameworksLicense
MIT LicenseFollow RL Games
Other Useful Business Software
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of RL Games!