UMich-ML-Group / RL-RidesharingLinks
Effcient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning
☆50Updated 5 years ago
Alternatives and similar repositories for RL-Ridesharing
Users that are interested in RL-Ridesharing are comparing it to the libraries listed below
Sorting:
- Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning☆66Updated last year
- PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplor…☆61Updated 5 years ago
- ☆57Updated 7 months ago
- Paper list of Reinforcement Learning (RL) applied on transportation☆100Updated 3 years ago
- Order Fulfillment by Multi-Agent Reinforcement Learning☆23Updated last year
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆78Updated 4 years ago
- Source code of paper Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale (TKDE 2022)…☆24Updated 3 years ago
- MetaLight: a value-based meta-reinforcement learning framework for traffic signal control☆40Updated 5 years ago
- Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control☆64Updated 2 years ago
- Code for Multi-agent reinforcement learning to unify order-matching and vehicle-repositioning in ride-hailing services☆17Updated 2 years ago
- This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Le…☆34Updated 3 years ago
- Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing☆66Updated 2 years ago
- ☆11Updated 2 years ago
- A Reinforcement Learning Approach to the Orienteering Problem with Time Windows☆25Updated 3 years ago
- Problem Statement A smart city needs smart mobility, and to achieve this objective, the travel should be made convenient through sustain…☆19Updated 6 years ago
- Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems☆36Updated last year
- ☆41Updated last year
- ☆14Updated 3 years ago
- codes for paper 《Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions》☆13Updated 3 years ago
- Code for paper publication: Deep reinforcement learning-based solution for a multi-objective online order batching problem☆14Updated 3 years ago
- A Simulator for Dynamic Ride-Sharing with Pooling: Joint Matching,Pricing, Route Planning, and Dispatching☆31Updated last year
- Adds CityFlow to Gym☆30Updated 3 years ago
- Energy-optimal Routing for Electric Vehicles using Deep Reinforcement Learning with Transformer☆28Updated last year
- Dynamic Partial Removal: a Neural Network Heuristic for Large Neighborhood Search on Combinatorial Optimization Problems, by applying dee…☆20Updated 5 years ago
- IPDALight for traffic signal control☆18Updated last year
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆31Updated last year
- This is the implemention of JSSP with RL. The framework used for RL is actor critic and the dataset comes from Tianchi competition.☆97Updated 4 years ago
- ☆56Updated 2 years ago
- ☆49Updated 2 years ago
- Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper☆166Updated 5 years ago