chongyi-zheng

mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

gdown

Google Drive Public File Downloader when Curl/Wget Fails

IsaacGymEnvs

Isaac Gym Reinforcement Learning Environments

deep-motion-editing

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

D4RL

A collection of reference environments for offline reinforcement learning

diffuser

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

blindai

Confidential AI deployment with secure enclaves :lock:

CMU-ECE-CS-Guide

How to survive CMU as an ECE/CS major

trajectory-transformer

Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"

CQL

Code for conservative Q-learning

s-vae-pytorch

Pytorch implementation of Hyperspherical Variational Auto-Encoders

tdmpc

Code for "Temporal Difference Learning for Model Predictive Control"

deterministic-uncertainty-quantification

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

ProMP

Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Meta-RL.

mtrl

Multi Task RL Baselines

vision4leg

Toolkit for vision-guided quadrupedal locomotion research

torchrl

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

nngp

Deep neural network kernel for Gaussian process

AWP

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

dmcontrol-generalization-benchmark

DMControl Generalization Benchmark

deformable-ravens

Code for ICRA 2021 paper: https://arxiv.org/abs/2012.03385

CQL

Conservative Q Learning on top of SAC

loss-surface-simplexes

proto

Proto-RL: Reinforcement Learning with Prototypical Representations

policy-distillation-baselines

Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.

dnn2gp

Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)

fromp

Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"

info_geometry

Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"

mnm

Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"