qcappart / hybrid-cp-rl-solverLinks
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
☆193Updated 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☆180Updated 3 years ago
- ☆132Updated 2 years ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆109Updated 2 years ago
- ☆108Updated 5 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆231Updated 3 years ago
- ☆163Updated 5 years ago
- This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…☆109Updated last year
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆67Updated 3 years ago
- An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…☆96Updated 2 years ago
- This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"☆147Updated 2 years ago
- ☆47Updated 3 years ago
- Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'☆40Updated 5 years ago
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)☆379Updated 3 years ago
- Learning to Perform Local Rewriting for Combinatorial Optimization☆151Updated 5 years ago
- Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem☆92Updated 4 years ago
- codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"☆196Updated 2 years ago
- Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"☆338Updated 2 years ago
- DPDP☆100Updated 2 years ago
- The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…☆163Updated 4 years ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆50Updated 4 years ago
- [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing☆84Updated 3 years ago
- Paper collection of reinforcement learning based combinatorial optimization☆54Updated 4 years ago
- This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'☆239Updated last year
- Official implementation of H-TSP (AAAI2023)☆50Updated 3 months ago
- Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper☆166Updated 5 years ago
- Efficient Active Search☆52Updated 3 years ago
- Predict and search framework for MilP☆55Updated 2 years ago
- Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learni…☆94Updated 4 years ago
- Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning☆53Updated 4 years ago