SaneLYX's repositories
PhD-Thesis-Projects
This repository contains the code of the deep MARL-based dynamic scheduling algorithms in job shop and flexible job shop
JSSEnv
An OpenAi Gym environment for the Job Shop Scheduling problem.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
RL-Job-Shop-Scheduling
Paper《A Reinforcement Learning Environment For Job-Shop Scheduling》
rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
metaheuristics
Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)
quantumzero
Paper《Optimizing quantum annealing schedules with Monte Carlo tree search enhanced with neural networks》
MADRL
Paper《Cooperative Multi-Agent Control Using Deep Reinforcement Learning》
MatNet
Paper《Matrix Encoding Networks for Neural Combinatorial Optimization》
TSP_DRL_PtrNet
Paper《Neural Combinatorial Optimization with Reinforcement Learning》
DRL_to_DFJSP
Paper《Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning》
gnn_jssp
Master's Thesis - Graph Neural Networks for Compact Representation for Job Shop Scheduling Problems: A Comparative Benchmark
MORL
Paper《A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation》
Job_Shop_Scheduling_Problem_with_Reinforcement_Learning
This is the implemention of JSSP with RL. The framework used for RL is actor critic and the dataset comes from Tianchi competition.
RL_TSP_4static
Paper《Deep Reinforcement Learning for Multiobjective Optimization》
pytorch-drl4vrp
Paper《Deep Reinforcement Learning for Solving the Vehicle Routing Problem》
code-for-paper
Paper《Implementation matters in deep policy gradients: a case study on PPO and TRPO》
graph_comb_opt
Paper《Learning Combinatorial Optimization Algorithms over Graphs》
Genetic-Algorithm-for-Job-Shop-Scheduling-and-NSGA-II
Learning how to implement GA and NSGA-II for job shop scheduling problem in python