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

Project Activity

See All Activity >

License

MIT License

Follow RL Games

RL Games Web Site

Other Useful Business Software
Build Agents and Models on One Platform Icon
Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of RL Games!

Additional Project Details

Programming Language

Python

Related Categories

Python Reinforcement Learning Frameworks

Registered

2025-03-13