google-research / tf-opt
☆39Updated 3 months ago
Alternatives and similar repositories for tf-opt:
Users that are interested in tf-opt are comparing it to the libraries listed below
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆49Updated 3 years ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆93Updated last year
- ☆42Updated 3 years ago
- Efficient Active Search☆48Updated 2 years ago
- ☆35Updated last year
- ☆30Updated 2 years ago
- Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning☆47Updated 4 years ago
- This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…☆96Updated 8 months ago
- This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short…☆55Updated 2 years ago
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆67Updated 3 years ago
- Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem☆85Updated 4 years ago
- DPDP☆99Updated 2 years ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆129Updated 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
- Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization☆183Updated 4 years ago
- Combining Reinforcement Learning with Integer Programming for Robust Scheduling☆26Updated 11 months ago
- Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)☆20Updated 2 years ago
- The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'☆84Updated 3 years ago
- ☆23Updated 3 years ago
- ☆35Updated 4 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆97Updated last year
- ☆124Updated 2 years ago
- [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆60Updated last week
- An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…☆90Updated 2 years ago
- ☆42Updated 8 months ago
- [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing☆80Updated 3 years ago
- codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"☆65Updated 3 years ago
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆47Updated last year
- ☆50Updated 3 years ago
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆52Updated 8 months ago