pemami4911 / neural-combinatorial-rl-pytorchLinks
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
☆579Updated 7 years ago
Alternatives and similar repositories for neural-combinatorial-rl-pytorch
Users that are interested in neural-combinatorial-rl-pytorch are comparing it to the libraries listed below
Sorting:
- pytorch neural combinatorial optimization☆384Updated 7 years ago
- Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arX…☆485Updated 5 years ago
- Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"☆505Updated 6 years ago
- Attention based model for learning to solve different routing problems☆1,222Updated 10 months ago
- Learning to Perform Local Rewriting for Combinatorial Optimization☆150Updated 5 years ago
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)☆377Updated 3 years ago
- ☆163Updated 5 years ago
- "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver☆177Updated 3 years ago
- Pytorch implementation of Pointer Network☆331Updated 6 years ago
- The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…☆163Updated 4 years ago
- Reinforcement Learning for Solving the Vehicle Routing Problem☆662Updated 4 years ago
- Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"☆334Updated 2 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆231Updated 3 years ago
- Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Opti…☆43Updated 7 years ago
- Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Sessi…☆321Updated 3 years ago
- codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"☆193Updated 2 years ago
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago
- ☆107Updated 5 years ago
- Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization☆191Updated 4 years ago
- ☆132Updated 2 years ago
- Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper☆163Updated 4 years ago
- Code for TSP Transformer☆187Updated 4 years ago
- This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'☆236Updated last year
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆154Updated 9 months ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆401Updated 7 years ago
- Extensible Combinatorial Optimization Learning Environments☆342Updated last month
- Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learni…☆93Updated 4 years ago
- An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…☆94Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆582Updated 7 years ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆107Updated 2 years ago