Experiments for understanding disentanglement in VAE latent representations

A set of Cartesian controllers for the ROS1 and ROS2-control framework.

📄 Awesome CV is LaTeX template for your outstanding job application

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

计算机自学指南

卡码网题解全集

Resume template for Chinese programmers . 程序员简历模板系列。包括PHP程序员简历模板、iOS程序员简历模板、Android程序员简历模板、Web前端程序员简历模板、Java程序员简历模板、C/C++程序员简历模板、NodeJS程序员简历模板、架构师简历模板以及通用程序员简历模板

A Benchmark for Evaluating Generalization for Robotic Manipulation

[ICLR 2024] Official implementation for "Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations"

Taming Transformers for High-Resolution Image Synthesis

disentanglement_lib is an open-source library for research on learning disentangled representations.

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

Benchmarking Knowledge Transfer in Lifelong Robot Learning

Vector Quantized VAEs - PyTorch Implementation

[NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models

Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

Google Research

Code for the paper "Generative Adversarial Imitation Learning"

PyTorch implementation of Soft Actor-Critic (SAC)

Code implementation for paper: Out-of-Dynamics Imitation Learning from Multimodal Demonstrations

Domain-Robust Visual Imitation Learning with Mutual Information Constraints code

[ICLR2021, Oral] Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency

The Official Implementation of Domain Adaptive Imitation Learning (DAIL)

A curated list of awesome imitation learning resources and publications

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

Codebase of NeurIPS 2022 paper ''Planning for Sample Efficient Imitation Learning''