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algorithm-doc

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

dqn-ddqn-dueling_networ-d3qn-_for_jsp

pytorch implementation of DQN/DDQN/Dueling_networ/D3QN for job shop scheudling problem

drl4fjsp

Deep reinforcement learning methods for flexible job shop scheduling problems

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

fjsp-benchmarks

The public benchmark instances of flexible job shop scheduling problem

graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

job_shop_scheduling_benchmark_environments_and_instances

A benchmarking repo with various solution methods to various machine scheduling problems

jsp-deeprl-seq2seq

Official codebase for "Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approach", published at LION17 (17th Learning and Intelligent Optimization Conference)

openrl

Unified Reinforcement Learning Framework

pytorch_structure2vec

pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)

simple2fjsp

A very simple deep reinforcement learning methods for flexible job shop scheduling problems