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

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

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

Vector Quantized VAEs - PyTorch Implementation

Experiments for understanding disentanglement in VAE latent representations

Code for the paper "Generative Adversarial Imitation Learning"

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

A Benchmark for Evaluating Generalization for Robotic Manipulation

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

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

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

The Official Implementation of Domain Adaptive Imitation Learning (DAIL)

Domain-Robust Visual Imitation Learning with Mutual Information Constraints code

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

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