Deep RL for Robotic Manipulation
PyTorch
Isaac Gym
RLlib
CUDA
Implementation of state-of-the-art reinforcement learning algorithms for robotic manipulation tasks. Features GPU-accelerated physics simulation and distributed training.
Features
- PPO with custom architectures
- GPU-accelerated physics simulation
- Multi-task policy training
- Imitation learning integration
- Real-world sim2real transfer