for idao 2020

Multi-Agent Reinforcement learning for Satellite scheduling，基于stk11的多智能体强化学习卫星调度实验

A collection of scripts implementing key games from game theory, Q-learning and reinforcement learning and an in depth investigation of the colonel blotto game with regret minimisation

A revival of a personally beloved game, meant for tournament-style play.

Using a genetic algorithm to find an optimal solution to the Blotto Game

Colonel Blotto Reinforcement Learning Game

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

TensorFlow implementation of Deep Reinforcement Learning papers

A deep Q learning demonstration using Google Tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

RLGF is a general training framework suitable for UAV deep reinforcement learning tasks. And integrates multiple mainstream deep reinforcement learning algorithms(SAC, DQN, DDQN, PPO, Dueling DQN, …

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

A couple of drones and deep reinforcement learning models for controlling them.

基于独立性验证和因果推理的贝叶斯网络结构学习实验详细数据

https://hrl.boyuai.com/

温州大学《机器学习》课程资料（代码、课件等）

周志华《机器学习》手推笔记