dnoursi / gym-graph-searchLinks
OpenAI Gym environment for graph search problems such as shortest path.
☆11Updated 5 years ago
Alternatives and similar repositories for gym-graph-search
Users that are interested in gym-graph-search are comparing it to the libraries listed below
Sorting:
- reinforcement learning with pytorch geometric library☆50Updated 3 years ago
- This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.☆185Updated 7 months ago
- Web crawler on wikipedia dump using PPO and graph neural networks☆18Updated 2 years ago
- Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)☆33Updated 7 years ago
- ☆37Updated 6 years ago
- Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL☆77Updated 6 years ago
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- ☆25Updated 3 years ago
- ☆35Updated 2 years ago
- Solving Traveling Salesman Problem with reinforcement learning...☆57Updated 5 years ago
- Graph-based Reinforcement Learning☆16Updated 7 years ago
- ☆9Updated 4 years ago
- Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks☆25Updated last year
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆54Updated last year
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆100Updated 2 years ago
- ☆162Updated 5 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆56Updated 3 years ago
- Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"☆58Updated 5 years ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆67Updated 2 years ago
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆95Updated 3 years ago
- ☆239Updated 2 years ago
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆60Updated 2 years ago
- Reference implementation for Agent-based Graph Neural Networks☆12Updated 11 months ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 5 years ago
- [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"☆71Updated last month
- Series of deep reinforcement learning algorithms 🤖☆29Updated 4 years ago
- Code for TSP Transformer☆186Updated 4 years ago
- Paper collection of reinforcement learning based combinatorial optimization☆54Updated 4 years ago
- Extending the Neural Graph Algorithm Executor☆13Updated 2 years ago