LanXinShao

LanXinShao's Stars

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook9.2k791431.8k

• MorvanZhou/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

  Language:Python8.9k2871935k

• canyilu/LibADMM-toolbox

  A Library of ADMM for Sparse and Low-rank Optimization

  Language:MATLAB343131113

• oemof/oemof-solph

  A model generator for energy system modelling and optimisation (LP/MILP).

  Language:Python29837580126

• philtabor/Multi-Agent-Deep-Deterministic-Policy-Gradients

  A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

  Language:Python29451271

• pandezhao/alpha_sigma

  A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

  Language:Python1605134

• Matrixeigs/energy_management_system

  energy management system for the microgrid

  Language:Python14916052

• cap-ntu/baconian-project

  Model-based Reinforcement Learning Framework

  Language:Python1131018

• wubaoyuan/Lpbox-ADMM

  A generic optimization method for any integer programming problem

  Language:MATLAB896420

• Feeling-well/CCGRO-toy-case

  learn from Paper named: Solving two-stage robust optimization problems using a column-and-constraint generation method

  Language:Python850020

• TSummersLab/Distributionally-robust-stochastic-OPF

  Language:MATLAB782228

• nightldj/admm_release

  Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''

  Language:MATLAB696018

• oxfordcontrol/CDCS

  An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.

  Language:MATLAB6312524

• XinweiJiang/VMD

  variational mode decomposition and its variants

  Language:MATLAB46108

• jramak/dual-adp-suc

  Code / data for the paper "A Dual Approximate Dynamic Programming Approach for Multi-stage Stochastic Unit Commitment" http://www.optimization-online.org/DB_HTML/2018/06/6672.html

  Language:MATLAB413113

• moayad-hsn/Enhancing-energy-trading-between-different-Islanded-Microgrids-A-Reinforcement-Learning-Algorithm

  Graduation project researching a trading agent on microgrids to trade energy between them

  Language:Python36102

• oyurdakul/klmuc

  Source code and simulation scripts for "A Distributionally Robust Optimization Approach for Unit Commitment in Microgrids"

  Language:Python35118

• privateEye-zzy/simplex

  线性规划-单纯形算法

  Language:Python270014

• erudnick-cohen/SGLRO-Robust-Optimization

  Robust optimization algorithm for non-convex optimization problems containing uncertainty

  Language:MATLAB25203

• meysamcheramin1370/Computationally-Efficient-Approximations-for-Distributionally-Robust-Optimization

  Language:MATLAB24106

• mshalvagal/OptimalBiddingMicroGrid

  A Reinforcement Learning agent for an energy bidding problem in a simulated MicroGrid

  Language:Matlab216

• changkyu/aaai2016_changkyu

  Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty (AAAI 2016) - Changkyu Song

  Language:MATLAB18302

• JuXinglong/TITL_MARS_OPT

  Global optimization using mixed integer quadratic programming on non-convex two-way interaction truncated linear multivariate adaptive regression splines

  Language:Python172

• sebascuri/adacvar

  Language:Python6202

• hustee/Algorithms_MathModels

  【国赛】【美赛】数学建模相关算法 MATLAB实现

  Language:MATLAB4103

• alexch1/NeuralNetworks_QLearning

  holding my CA scripts

  Language:Matlab3

• Jinyu-W/maro

  Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization. It can be applied to many important industrial domains, such as container inventory management in logistics, bike repositioning in transportation, virtual machine provisioning in data centers, and asset management in finance. Besides RL, it also supports other planning/decision mechanisms, such as Operations Research. MARO provides comprehensive support in data processing, simulator building, RL algorithm selection, and distributed training.

  Language:Python3001

• jamespltan/sppa

  Sequential Piecewise Planar Approximation for piecewise linear programming

  Language:Python20

• ojdo/urbs

  A linear optimisation model for distributed energy systems

  Language:Python2301

• TanBendong/Publications

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