Kalman Filter implementation in Python using Numpy only in 30 lines.

Interactive PX4 Flight Log Analysis Tool

A Gym environment for navigation with an F-16 model simulated in JSBSim.

A framework to train agents in a Unity environment using a genetic algorithm

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

tensorflow实战练习，包括强化学习、推荐系统、nlp等

Tensorforce: a TensorFlow library for applied reinforcement learning

Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery

Code for the paper "Meta-Learning Shared Hierarchies"

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Rese…

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

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

Python Implementation of Reinforcement Learning: An Introduction

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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