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Learning Getting-Up Policies for Real-World Humanoid Robots

Humanoid Robots Resources

Reinforcement Learning paper review study

A search engine dedicated to CS conferences. It provides useful filters for conferences and year range.

Papers, codes, datasets, applications, tutorials.

Code for training locomotion policies with RL

Learning-based locomotion control from OpenRobotLab, including Hybrid Internal Model & H-Infinity Locomotion Control

Open-sourced code for "HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit".

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Isaac Gym Environments for Legged Robots

Training a humanoid robot for locomotion using Reinforcement Learning

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

Maximum Entropy Inverse Reinforcement Learning on the FrozenLake-v0-8x8 environment.

The official repository for NeurIPS 2024 Oral <Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models>

Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inverse Reinforcement Learning" - (Ziebart et al. 2008)

Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Code for the paper "Generative Adversarial Imitation Learning"

terrain-adaptive locomotion skills using deep reinforcement learning

Collection of reinforcement learning algorithms

Motion imitation with deep reinforcement learning.

[ICRA 2024]: Train your parkour robot in less than 20 hours.

Lipschitz-constrained Unsupervised Skill Discovery (ICLR 2022)

RL Extension Library for Robots, Based on IsaacLab.

[CoRL 2023] This repository contains data generation and training code for Scaling Up & Distilling Down

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