amyzhang's Stars
tensorflow/models
Models and examples built with TensorFlow
lanpa/tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
google-deepmind/lab
A customisable 3D platform for agent-based AI research
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
ikostrikov/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).
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
Farama-Foundation/Minigrid
Simple and easily configurable grid world environments for reinforcement learning
sfujim/TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
facebookresearch/poincare-embeddings
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
xiaohanyu/awesome-tikz
A curated list of awesome TikZ documentations, libraries and resources
facebookresearch/mbrl-lib
Library for Model Based RL
Farama-Foundation/Miniworld
Simple and easily configurable 3D FPS-game-like environments for reinforcement learning
joschu/modular_rl
Implementation of TRPO and related algorithms
ctallec/world-models
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
Unity-Technologies/obstacle-tower-env
Obstacle Tower Environment
denisyarats/pytorch_sac
PyTorch implementation of Soft Actor-Critic (SAC)
kchua/handful-of-trials
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
ikostrikov/pytorch-trpo
PyTorch implementation of Trust Region Policy Optimization
kentsommer/pytorch-value-iteration-networks
Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)
facebookresearch/rlstructures
RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.
denisyarats/pytorch_sac_ae
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
facebookresearch/mtrl
Multi Task RL Baselines
quanvuong/handful-of-trials-pytorch
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
maximilianigl/DVRL
Deep Variational Reinforcement Learning
higgsfield/interaction_network_pytorch
Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics
google-research/pddm
facebookresearch/icp-block-mdp
Invariant Causal Prediction for Block MDPs
denisyarats/dm_control2gym
OpenAI Gym Wrapper for DeepMind Control Suite
joshnroy/train-procgen
Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"