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OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
ghg
Transform a Modelica model (BSM1) into a Python OpenAI Gym environment, and optimize operation cost using reinforcement learning.
PyTorch implementations of deep reinforcement learning algorithms and environments
This project involves using Genetic Algorithm to solve the dynamic scheduling problem of flexible Job Shop production.
MOEA/D is a general-purpose algorithm framework. It decomposes a multi-objective optimization problem into a number of single-objective optimization sub-problems and then uses a search heuristic to optimize these sub-problems simultaneously and cooperatively.
Evolutionary algorithm toolbox and framework with high performance for Python
Quick start for modern LaTeXing for an IEEE conference
This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.
Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测,注释拉满。
This is the official implementation of Multi-Agent PPO.
A conda-forge distribution.
Multi-Objective fuzzy Flexsible Job Shop Scheduling Problem
A Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm is used to perform correction signals to inner-control loop (current) of the speed controller. The performance gains are supported by numerical simulations carried out in the MATLAB/Simulink environment by implementing both the suggested agent and a conventional PI controller
PPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )
A python library for: Adaptive Random Search, Ant Lion Optimizer, Arithmetic Optimization Algorithm, Artificial Bee Colony Optimization, Bat Algorithm, Biogeography Based Optimization, Cross-Entropy Method, Cuckoo Search, Differential Evolution, Dispersive Flies Optimization, Dragonfly Algorithm, Firefly Algorithm, Flow Direction Algorithm, Flower Pollination Algorithm, Genetic Algorithm, Grasshopper Optimization Algorithm, Gravitational Search Algorithm, Grey Wolf Optimizer, Harris Hawks Optimization, Improved Grey Wolf Optimizer, Improved Whale Optimization Algorithm, Jaya, Jellyfish Search Optimizer, Memetic Algorithm, Moth Flame Optimization, Multiverse Optimizer, Particle Swarm Optimization, Random Search, Salp Swarm Algorithm, Simulated Annealing, Sine Cosine Algorithm, Whale Optimization Algorithm
Mass Reliability Optimization Results of SHAMODE/SHAMODE-WO
Author's PyTorch implementation of TD3 for OpenAI gym tasks
A multi-modal multi-objective evolutionary algorithm using two-archive and recombination strategies (IEEE Transactions on Evolutionary Computation)
Free library for modelling and simulation of waste water treatment plants.
WasteWater BSM1 plant research
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.