awslabs / or-rl-benchmarks
The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
☆84Updated 3 years ago
Alternatives and similar repositories for or-rl-benchmarks:
Users that are interested in or-rl-benchmarks are comparing it to the libraries listed below
- ☆39Updated last month
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆133Updated 2 years ago
- Combining Reinforcement Learning with Integer Programming for Robust Scheduling☆26Updated last year
- Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem☆90Updated 4 years ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 5 years ago
- Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization☆191Updated 4 years ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆99Updated 2 years ago
- ☆46Updated 3 years ago
- Efficient Active Search☆49Updated 3 years ago
- Uber's Multi-Agent Routing Value Iteration Network☆64Updated 4 years ago
- ☆131Updated 2 years ago
- Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"☆56Updated 5 years ago
- "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver☆175Updated 3 years ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆50Updated 3 years ago
- Population-Based Reinforcement Learning for Combinatorial Optimization☆72Updated last year
- ☆26Updated 4 years ago
- [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing☆81Updated 3 years ago
- Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL☆76Updated 6 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆227Updated 3 years ago
- DPDP☆100Updated 2 years ago
- Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning☆51Updated 4 years ago
- Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)☆21Updated 2 years ago
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆16Updated 6 years ago
- Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem☆28Updated 2 years ago
- The code for the SRDQN algorithm to train an agent for the beer game problem☆77Updated 2 years ago
- ☆35Updated 5 years ago
- ☆49Updated 2 years ago
- ☆9Updated 4 years ago
- Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)☆33Updated 4 years ago
- The Machine Learning Optimizer☆104Updated 2 years ago