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

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

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

Unified Reinforcement Learning Framework

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

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Deep reinforcement learning methods for flexible job shop scheduling problems

The public benchmark instances of flexible job shop scheduling problem

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

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

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

A list of recent papers regarding deep reinforcement learning