Learned Perceptive Forward Dynamics Model

Mastering Diverse Domains through World Models

A Telegram bot to recommend arXiv papers

Massively Parallel Deep Reinforcement Learning. 🔥

Official Implementation of the ICCV 2023 paper: Perpetual Humanoid Control for Real-time Simulated Avatars

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

A curated list of Diffusion Model in RL resources (continually updated)

[ICLR 2023] DiffMimic: Efficient Motion Mimicking with Differentiable Physics https://arxiv.org/abs/2304.03274

UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers

Adversarial skill embeddings for training reusable controllers for physically simulated characters.

Motion imitation with deep reinforcement learning.

Official Implementation of the ICLR 2024 spotlight paper: Universal Humanoid Motion Representations for Physics-Based Control

Repository for our paper: Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations Proceedings of the 6th Conference on Robot Learning (CoRL),

Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695

[CoRL 2022] Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion

Implementation of Dreamer v3 in pytorch.

All notes and materials for the CS229: Machine Learning course by Stanford University

Code for "Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions"

Awesome Quadrupedal Robots

Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms

Efficient optimal control solvers for robotic systems.

Model-based design and verification for robotics.

Real-time behaviour synthesis with MuJoCo, using Predictive Control