RL Games

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

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License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Reinforcement Learning Frameworks

Registered

2025-03-13

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