keqinw / MANLinks
☆11Updated 2 years ago
Alternatives and similar repositories for MAN
Users that are interested in MAN are comparing it to the libraries listed below
Sorting:
- Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"☆16Updated 9 months ago
- Efficient Exploration through Bayesian Deep-Q Networks.☆17Updated 3 years ago
- Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)☆33Updated 7 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆31Updated last year
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆100Updated 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
- Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks☆25Updated last year
- ☆25Updated 3 years ago
- qmix☆22Updated 5 years ago
- This is the official implementation of ERL-Re2.☆64Updated last year
- ☆14Updated 2 years ago
- Implementation of Pareto Deep Q Networks in a multi-objective Gym Reinforcement Learning Environment☆16Updated 2 years ago
- NIRM: Dismantling Complex Networks by a Neural Model Trained from Tiny Networks☆12Updated 2 years ago
- the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning☆9Updated 2 years ago
- Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL☆77Updated 6 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆96Updated 2 years ago
- Uber's Multi-Agent Routing Value Iteration Network☆65Updated 4 years ago
- Meta-Reinforcement Learning with Policy Residual Representation☆11Updated 5 years ago
- Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G wi…☆116Updated 5 years ago
- Paper collection of reinforcement learning based combinatorial optimization☆54Updated 4 years ago
- Attention based model for learning to solve different routing problems☆41Updated 3 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 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
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 5 years ago
- ☆32Updated 2 years ago
- Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization☆14Updated 5 years ago
- Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems☆36Updated last year
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆29Updated 2 years ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆27Updated 4 years ago
- Applying minimaxQ learning algorithm to 2 agents games☆33Updated 7 years ago