DanieleGammelli / gnn-rl-for-amod
Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand
☆72Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for gnn-rl-for-amod
- Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control☆56Updated 2 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆91Updated last month
- TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed…☆82Updated 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 2 years ago
- ☆44Updated 6 months ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆55Updated 4 years ago
- The pytorch implementation of DGN on grid world and Starcraft☆134Updated 2 years ago
- MetaLight: a value-based meta-reinforcement learning framework for traffic signal control☆36Updated 4 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆25Updated last year
- reinforcement learning with pytorch geometric library☆46Updated 3 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆39Updated 2 years ago
- ☆37Updated 6 months ago
- Effcient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning☆46Updated 4 years ago
- (ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolut…☆30Updated last year
- The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framew…☆58Updated 9 months ago
- Implementation of PPO Lagrangian in PyTorch☆35Updated 2 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆55Updated 2 years ago
- ☆14Updated 8 months ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆30Updated 3 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆31Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆57Updated 2 years ago
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets☆13Updated 2 years ago
- Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…☆39Updated 7 months ago
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆29Updated 3 years ago
- ☆37Updated 2 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆57Updated 2 years ago
- Some multiagent deep reinforcement learning algorithms and its PyTorch implementation.☆11Updated 4 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆68Updated last year
- ☆55Updated 4 years ago