natolambert/dynamicslearn

Flow Policy Gradients for Robot Control

We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control

RL_Training Repo Based on Isaaclab

This is a repository for reinforcement learning implementation for Unitree robots, based on IsaacLab.

The robot skill creation engine

Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"