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book-mathmatical-foundation-of-reinforcement-learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

edolab-matlab

end-to-end-drl-for-fjsp

This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

geatpy

Evolutionary algorithm toolbox and framework with high performance for Python

gym

A toolkit for developing and comparing reinforcement learning algorithms.

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

mopso

多目标粒子群算法简单实现

nsga-ii

This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.

pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

reinforcement_learning_financial_trading

MATLAB example on how to use Reinforcement Learning for developing a financial trading model

rl_learning

simplega

用python实现简单的遗传算法

swarmlib

This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)

tech

this repository contains nothing but faith