mayongbo's repositories
Book-Mathmatical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
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
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)