qcappart / learning-DD
Implementation of the paper "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning".
☆25Updated 5 years ago
Alternatives and similar repositories for learning-DD:
Users that are interested in learning-DD are comparing it to the libraries listed below
- This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).☆30Updated 5 years ago
- Learning local search heuristics for Boolean satisfiability☆37Updated 9 months ago
- ☆28Updated 5 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆30Updated 4 years ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆48Updated 2 years ago
- ☆24Updated 3 years ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆49Updated 3 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 2 years ago
- Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)☆33Updated 4 years ago
- ☆11Updated 3 years ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆25Updated 3 years ago
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆81Updated 4 years ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 5 years ago
- Representing CP problems as graphs☆17Updated 2 months ago
- A branch-and-bound ILP solver☆26Updated 5 years ago
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆154Updated 5 months ago
- ☆42Updated 3 years ago
- Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL☆76Updated 5 years ago
- Learning to Perform Local Rewriting for Combinatorial Optimization☆150Updated 5 years ago
- Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.☆13Updated 2 years ago
- ☆39Updated 3 months ago
- ☆23Updated last year
- [NeurIPS 2022] "NSNet: A General Neural Probabilistic Framework for Satisfiability Problems"☆18Updated last year
- ☆40Updated 2 weeks ago
- Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning☆47Updated 4 years ago
- Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)☆20Updated 2 years ago
- ☆11Updated 4 years ago
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆67Updated 3 years ago
- Adaptive Cut Selection in Mixed-Integer Linear Programming☆13Updated last year
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆38Updated 7 months ago