lyeskhalil / CORLLinks
☆25Updated 3 years ago
Alternatives and similar repositories for CORL
Users that are interested in CORL are comparing it to the libraries listed below
Sorting:
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆36Updated 5 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆100Updated 2 years ago
- Attention based model for learning to solve different routing problems☆42Updated 3 years ago
- ☆35Updated 5 years ago
- Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"☆22Updated 3 years ago
- ☆42Updated 4 months ago
- ☆23Updated last year
- reinforcement learning with pytorch geometric library☆49Updated 3 years ago
- ☆40Updated last year
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆27Updated 4 years ago
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago
- ☆131Updated 2 years ago
- ☆34Updated 2 years ago
- Efficient Active Search☆52Updated 3 years ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆34Updated 4 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
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 6 years ago
- Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem☆39Updated 3 years ago
- Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning☆16Updated 5 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆34Updated last year
- Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)☆33Updated 4 years ago
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆52Updated 2 months ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆113Updated 2 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆42Updated 3 years ago
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆79Updated 4 years ago
- codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"☆70Updated 3 years ago
- ☆21Updated 2 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
- Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)☆21Updated 3 years ago
- Order Fulfillment by Multi-Agent Reinforcement Learning☆24Updated last year