mihdalal

raps

[NeurIPS 2021] PyTorch Code for Accelerating Robotic Reinforcement Learning with Parameterized Action Primitives

planseqlearn

[ICLR 2024] PyTorch Code for Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks

optimus

bet

Code and website for Behavior Transformers: Cloning k modes with one stone.

furniture

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

habitat-lab

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

robomimic

robomimic: A Modular Framework for Robot Learning from Demonstration

cmu-vision.github.io

d4rl

A benchmark for offline reinforcement learning.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

diffusion_policy

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

IKEA_ASM_Dataset

industreallib

IsaacGymEnvs

Isaac Gym Reinforcement Learning Environments

mega

Sequence modeling with Mega.

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

mihdalal.github.io

modular-manip

monometis

mopa-rl

Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments (CoRL 2020)

mujoco_mpc

Real-time behaviour synthesis with MuJoCo, using Predictive Control

neural-dynamic-policies

pointnet2_ops

Fork of the ops from Erik Wijman's Pointnet++ repo

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

rad

RAD: Reinforcement Learning with Augmented Data

rl_games

RL implementations

rlkit

Collection of reinforcement learning algorithms

robofin

A collection of robotics-related tools for machine learning

robosuite

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

spirl

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020