sanelyx Goto Github PK

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

code-for-paper

Paper《Implementation matters in deep policy gradients: a case study on PPO and TRPO》

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-for-solving-job-shop-scheduling-problems

DRL on JSSPs

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

drl-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

drl_to_dfjsp

Paper《Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning》

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/

elegantrl

Cloud-native Deep Reinforcement Learning. 🔥

end-to-end-drl-for-fjsp

Paper《A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem》

fjsp-drl

Paper《Flexible Job Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning》

genetic-algorithm-for-job-shop-scheduling-and-nsga-ii

Learning how to implement GA and NSGA-II for job shop scheduling problem in python

gnn_jssp

Master's Thesis - Graph Neural Networks for Compact Representation for Job Shop Scheduling Problems: A Comparative Benchmark

graph_comb_opt

Paper《Learning Combinatorial Optimization Algorithms over Graphs》

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.

jssenv

An OpenAi Gym environment for the Job Shop Scheduling problem.

keras

Deep Learning for humans

l2d

Paper《Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning》

lihang-code

《统计学习方法》的代码实现

lyx

madrl

Paper《Cooperative Multi-Agent Control Using Deep Reinforcement Learning》

marl-algorithms

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

masa-qmix

Paper《Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning》

matnet

Paper《Matrix Encoding Networks for Neural Combinatorial Optimization》

metaheuristics

Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)