return-sleep

octo

Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.

spoc-robot-training

SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World

mimicgen

This code corresponds to simulation environments used as part of the MimicGen project.

robohive

A unified framework for robot learning

RoboGen

A generative and self-guided robotic agent that endlessly propose and master new skills.

Awesome-Video-Robotic-Papers

This repository compiles a list of papers related to the application of video technology in the field of robotics! Star⭐ the repo and follow me if you like what you see🤩.

mobile_aloha_sim

RLBench

A large-scale benchmark and learning environment.

act-plus-plus

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

robocasa

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

CQL

PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

SAC-Discrete-Pytorch

A clean and robust Pytorch implementation of SAC on discrete action space

mbrcsl

BISCUIT

Official code of the paper "BISCUIT: Causal Representation Learning from Binary Interactions" (UAI 2023)

safe-rlhf

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

DriveAGI

[Incl. GenAD, CVPR 2024 Highlight] Embracing Foundation Models into Autonomous Agent and System

SRPO

Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Diff4RLSurvey

This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"

scope-rl

SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection

s2p

"S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning" (NeurIPS 2022)

LOMPO

Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models

tianshou

An elegant PyTorch deep reinforcement learning library.

d3rlpy

An offline deep reinforcement learning library

v-d4rl

Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

awesome-diffusion-model-in-rl

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

diffuser

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

Diffusion-Policies-for-Offline-RL

decision-diffuser