qcappart / hybrid-cp-rl-solverLinks
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
☆191Updated 4 years ago
Alternatives and similar repositories for hybrid-cp-rl-solver
Users that are interested in hybrid-cp-rl-solver are comparing it to the libraries listed below
Sorting:
- "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver☆177Updated 3 years ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆107Updated 2 years ago
- ☆132Updated 2 years ago
- ☆107Updated 5 years ago
- Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'☆40Updated 5 years ago
- This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"☆146Updated 2 years ago
- ☆52Updated 3 years ago
- codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"☆193Updated 2 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
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆67Updated 3 years ago
- ☆163Updated 5 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
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago
- Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization☆61Updated 3 years ago
- This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…☆107Updated last year
- Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning☆53Updated 4 years ago
- ☆47Updated 3 years ago
- Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem☆91Updated 4 years ago
- ☆31Updated 2 years ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆135Updated 2 years ago
- This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short…☆58Updated 2 years ago
- Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"☆334Updated 2 years ago
- Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper☆163Updated 4 years ago
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)☆377Updated 3 years ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆50Updated 4 years ago
- Efficient Active Search☆50Updated 3 years ago
- Learning to Perform Local Rewriting for Combinatorial Optimization☆150Updated 5 years ago
- Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learni…☆93Updated 4 years ago
- DPDP☆100Updated 2 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆231Updated 3 years ago