BeloborodovDS / SIMCIM-RL
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
☆13Updated 4 years ago
Alternatives and similar repositories for SIMCIM-RL:
Users that are interested in SIMCIM-RL are comparing it to the libraries listed below
- Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)☆33Updated 4 years ago
- ☆16Updated 6 years ago
- ☆23Updated 3 years ago
- A quantum reinforcement learning framework based on PyTorch and PennyLane.☆25Updated 11 months ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 5 years ago
- Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)☆32Updated 7 years ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆25Updated 3 years ago
- ☆13Updated 2 years ago
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆45Updated 2 years ago
- This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).☆30Updated 5 years ago
- Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.☆13Updated 2 years ago
- Attention based model for learning to solve different routing problems☆37Updated 2 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆96Updated last year
- Automatic tool for converting a high-level description of an optimization problem, written in Python, into an equivalent QUBO.☆14Updated last year
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆15Updated 2 years ago
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆36Updated 4 months ago
- JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.☆46Updated last year
- ☆146Updated 11 months ago
- ☆35Updated last year
- ☆30Updated 2 years ago
- Solving Traveling Salesman Problem with reinforcement learning...☆52Updated 5 years ago
- Implementation of Quantum Graph Recurrent Neural Network (QGRNN)☆16Updated 3 years ago
- Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem☆31Updated 2 years ago
- ☆14Updated 2 years ago
- A benchmarking suite for maximum independent set solvers.☆49Updated 11 months ago
- Quantum Multi-agent Reinforcement Learning (QMARL)☆29Updated 2 years ago
- ☆35Updated 4 years ago
- A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…☆11Updated 2 years ago
- Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning☆37Updated last year