DanieleGammelli / gnn-rl-for-amod
Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand
☆78Updated 4 years ago
Alternatives and similar repositories for gnn-rl-for-amod:
Users that are interested in gnn-rl-for-amod are comparing it to the libraries listed below
- TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed…☆92Updated 2 years ago
- This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Le…☆33Updated 3 years ago
- ☆20Updated last year
- reinforcement learning with pytorch geometric library☆48Updated 3 years ago
- Attention based model for learning to solve different routing problems☆40Updated 2 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 4 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆35Updated 6 months ago
- This open source library is available to summarize several years of research papers on graph reinforcement learning for the convenience o…☆21Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆65Updated 3 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆109Updated 4 months ago
- Effcient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning☆49Updated 4 years ago
- Nash Q Learning☆31Updated 4 years ago
- Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control☆62Updated 2 years ago
- The pytorch implementation of DGN on grid world and Starcraft☆141Updated 3 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆29Updated last year
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆32Updated 4 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆51Updated 3 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆41Updated 3 years ago
- Implementation of PPO Lagrangian in PyTorch☆44Updated 2 years ago
- The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framew…☆73Updated last year
- ☆10Updated 2 years ago
- Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning☆65Updated last year
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆35Updated 4 years ago
- ☆40Updated 3 years ago
- MetaLight: a value-based meta-reinforcement learning framework for traffic signal control☆38Updated 5 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆75Updated 2 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 2 years ago
- A plotter for reinforcement learning (RL) using Weights & Biases☆13Updated last year
- ☆42Updated 3 years ago
- qmix☆21Updated 4 years ago