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pytorch-tutorial

Build your neural network easy and fast, 莫烦Python中文教学

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

reinforcement-learning-2nd-edition-by-sutton-exercise-solutions

Solutions of Reinforcement Learning, An Introduction

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-implementation

Reinforcement Learning examples implementation and explanation

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

reinforcement_learning_an_introduction

Notes and exercise solutions for second edition of Sutton & Barto's book

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-baselines3-zoo

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

rl-tutorial-jnrr19

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

rl4uc

Reinforcement learning for unit commitment

rl_a3c_pytorch

A3C LSTM Atari with Pytorch plus A3G design

robo-gym

An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.

robomaster-simulator

ICRA RoboMaster AI Challenge Simulator - Gazebo with OpenAI gym

robotics-rl-srl

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

roslaunch2

Versatile, flexible and dynamic launch configurations for the Robot Operating System (ROS 1) using Python (v2 & 3)

sarsa

Implementation of SARSA algorithm for path planning

skeleton-based-human-action-recognition

slimevolleygym

A simple OpenAI Gym environment for single and multi-agent reinforcement learning

smartgridcosimulation

A Co-Simulation Plattform for Smart Energy System Modelling and Analysis

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tensorspace

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

version_control

Assignment for understanding git command line interface.