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alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

coding-challenges

Let's put any example code that is not p5 web editor in this repo to link from new website.

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deeplearning

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

drl

Deep Reinforcement Learning

drlib

DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.

dsctutorials

A few simple tutorials for dynamical systems and control. Most require Matlab.

f16

General Dynamics F-16 for Flightgear flight simulator

fg-aircraft

Flightgear aircraft models

flightgear

Mirror: FlightGear - Open source flight sim

guided-missile-modeling-simulation

Guided air-to-air missile modeling and simulation project written in C++

guided_missile_simulation

Air-to-Air Missile Simulation written in Fortran

gym-jsbsim

A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model

gym-jsbsim-envaddons

Adding on to gym-jsbsim with new environments, primarily for our research work.

happo-hatrpo

harl

Official implementation of HARL algorithms based on PyTorch.

hellow-world

this is my first try,thanks for your support

hierarchical_il_rl

Code for hierarchical imitation learning and reinforcement learning

introrl

Intro to Reinforcement Learning (强化学习纲要）

jsbsim_rl

reinforcement learning with jsbsim and open ai baselines

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

nl-fun

N-Layered FeUdal Networks based on FeUdal Networks adapted to suit PySC2 observations

nn-connect4

option_critic

Implementation of the Option-Critic Architecture on the Atari (ALE) environment

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).

pytorch-nfsp

Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement_learning_ppo_rnd

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation