xl-sr's Stars
Nirnai/DeepRL
vitchyr/multiworld
Multitask Environments for RL
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
Kaixhin/rlenvs
Reinforcement learning environments for Torch7
lcswillems/rl-starter-files
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
MatthewJA/Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
alexlee-gk/slac
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Farama-Foundation/Minigrid
Simple and easily configurable grid world environments for reinforcement learning
dotchen/LearningByCheating
(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning
isl-org/DirectFuturePrediction
Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017
google-deepmind/scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
facebookresearch/hydra
Hydra is a framework for elegantly configuring complex applications
felipecode/coiltraine
Training framework for conditional imitation learning
probtorch/probtorch
Probabilistic Torch is library for deep generative models that extends PyTorch
araffin/robotics-rl-srl
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
YannDubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
ben-eysenbach/sac
Soft Actor-Critic
yaricom/goNEAT_NS
This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima
jal278/novelty-search-cpp
C++ Implementation of Novelty Search
openai/EPG
Code for the paper "Evolved Policy Gradients"
mattjj/svae
code for Structured Variational Autoencoders
learnables/learn2learn
A PyTorch Library for Meta-learning Research
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
google-research/tensor2robot
Distributed machine learning infrastructure for large-scale robotics research
tkipf/compile
CompILE: Compositional Imitation Learning and Execution (ICML 2019)
logangraham/arXausality
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
nadavbh12/VQ-VAE
Minimalist implementation of VQ-VAE in Pytorch
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
STVIR/pysot
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.