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:
- PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplor…☆60Updated 5 years ago
- Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning☆65Updated last year
- Paper list of Reinforcement Learning (RL) applied on transportation☆97Updated 3 years ago
- Code for Multi-agent reinforcement learning to unify order-matching and vehicle-repositioning in ride-hailing services☆16Updated 2 years ago
- Source code of paper Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale (TKDE 2022)…☆23Updated 3 years ago
- A Simulator for Dynamic Ride-Sharing with Pooling: Joint Matching,Pricing, Route Planning, and Dispatching☆31Updated last year
- ☆11Updated 2 years ago
- A Reinforcement Learning Approach to the Orienteering Problem with Time Windows☆25Updated 3 years ago
- ☆56Updated 6 months 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
- Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems☆36Updated last year
- A simulator and learning agent to solve the ridesharing problem☆33Updated 4 years ago
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆78Updated 4 years ago
- Order Fulfillment by Multi-Agent Reinforcement Learning☆23Updated last year
- Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing☆66Updated 2 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
- ☆39Updated last year
- ☆55Updated 2 years ago
- Dynamic Partial Removal: a Neural Network Heuristic for Large Neighborhood Search on Combinatorial Optimization Problems, by applying dee…☆20Updated 5 years ago
- Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control☆62Updated 2 years ago
- This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short…☆60Updated 2 years ago
- This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"☆147Updated 2 years ago
- Code for paper publication: Deep reinforcement learning-based solution for a multi-objective online order batching problem☆14Updated 3 years ago
- ☆14Updated 3 years ago
- ☆49Updated 2 years ago
- Energy-optimal Routing for Electric Vehicles using Deep Reinforcement Learning with Transformer☆27Updated last year
- ☆23Updated 3 years ago
- Nash Q Learning☆31Updated 4 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆31Updated last year
- MetaLight: a value-based meta-reinforcement learning framework for traffic signal control☆39Updated 5 years ago