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Multi-Agent Deep Reinforcement Learning Based Optimal Path Planning for Charging Electric Vehicles

https://doi.org/10.2139/ssrn.4862847
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The Electric Vehicle Shortest-Walk Problem With Battery Exchanges
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Deep reinforcement learning control of electric vehicle charging in the presence of photovoltaic generation
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Deep reinforcement learning-based strategy for charging station participating in demand response
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If multi-agent learning is the answer, what is the question?
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Solving shortest path problems with a weight constraint and replenishment arcs
inferredcites →https://doi.org/10.1016/j.cor.2019.02.014openalex-extracted
Electric Vehicle Routing Problem with Time-Dependent Waiting Times at Recharging Stations
inferredcites →https://doi.org/10.1016/j.egyr.2022.12.139openalex-extracted
A study of charging-dispatch strategies and vehicle-to-grid technologies for electric vehicles in distribution networks
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Routing a mixed fleet of electric and conventional vehicles
inferredcites →https://doi.org/10.1016/j.ejor.2016.01.038openalex-extracted
The Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows and Recharging Stations
inferredcites →https://doi.org/10.1016/j.rser.2021.111733openalex-extracted
The state of play in electric vehicle charging services – A review of infrastructure provision, players, and policies
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Solving the battery swap station location-routing problem with capacitated electric vehicles using an AVNS algorithm for vehicle-routing problems with intermediate stops
inferredcites →https://doi.org/10.1016/j.trb.2017.02.004openalex-extracted
The electric vehicle routing problem with nonlinear charging function
inferredcites →https://doi.org/10.1016/j.trc.2016.01.013openalex-extracted
Partial recharge strategies for the electric vehicle routing problem with time windows
inferredcites →https://doi.org/10.1049/iet-its.2016.0233openalex-extracted
Traffic demand estimation for lane groups at signal‐controlled intersections using travel times from video‐imaging detectors
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Estimation of Route Travel Time Distribution with Information Fusion from Automatic Number Plate Recognition Data
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Modeling the effects of congestion on fuel economy for advanced power train vehicles
inferredcites →https://doi.org/10.1080/09728600.2005.12088797openalex-extracted
The Constrained Shortest Path Problem: Algorithmic Approaches and an Algebraic Study with Generalization
inferredcites →https://doi.org/10.1080/23249935.2016.1151964openalex-extracted
Travel time estimation method for urban road based on traffic stream directions
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Economic Efficiency in Cooperatives
inferredcites →https://doi.org/10.1090/qam/102435openalex-extracted
On a routing problem
inferredcites →https://doi.org/10.1093/biomet/52.3-4.591openalex-extracted
An Analysis of Variance Test for Normality (Complete Samples)
inferredcites →https://doi.org/10.1103/physrevresearch.2.043174openalex-extracted
Search with home returns provides advantage under high uncertainty
inferredcites →https://doi.org/10.1109/access.2019.2907618openalex-extracted
Cooperative Deep Q-Learning With Q-Value Transfer for Multi-Intersection Signal Control
inferredcites →https://doi.org/10.1109/icca.2017.8003170openalex-extracted
Multi agents' multi targets mission under uncertainty using probability navigation function
inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9206820openalex-extracted
IEDQN: Information Exchange DQN with a Centralized Coordinator for Traffic Signal Control
inferredcites →https://doi.org/10.1109/mits.2017.2709881openalex-extracted
Lane-Based Saturation Degree Estimation for Signalized Intersections Using Travel Time Data
inferredcites →https://doi.org/10.1109/mits.2018.2842047openalex-extracted
Estimating Maximum Queue Length for Traffic Lane Groups Using Travel Times from Video-Imaging Data
inferredcites →https://doi.org/10.1109/msp.2020.2976000openalex-extracted
Optimization for Reinforcement Learning: From a single agent to cooperative agents
inferredcites →https://doi.org/10.1109/tii.2019.2944183openalex-extracted
Cooperative Management for PV/ESS-Enabled Electric Vehicle Charging Stations: A Multiagent Deep Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/tii.2019.2950809openalex-extracted
Reinforcement Learning for Real-Time Pricing and Scheduling Control in EV Charging Stations
inferredcites →https://doi.org/10.1109/tits.2020.3002271openalex-extracted
Effective Charging Planning Based on Deep Reinforcement Learning for Electric Vehicles
inferredcites →https://doi.org/10.1109/tpwrs.2015.2477372openalex-extracted
Optimal Cooperative Charging Strategy for a Smart Charging Station of Electric Vehicles
inferredcites →https://doi.org/10.1109/tsg.2015.2393059openalex-extracted
Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market
inferredcites →https://doi.org/10.1109/tsg.2019.2920320openalex-extracted
Definition and Evaluation of Model-Free Coordination of Electrical Vehicle Charging With Reinforcement Learning
inferredcites →https://doi.org/10.1109/tsg.2019.2942593openalex-extracted
Deep Reinforcement Learning for EV Charging Navigation by Coordinating Smart Grid and Intelligent Transportation System
inferredcites →https://doi.org/10.1109/tsg.2020.2969650openalex-extracted
Enhanced Coordinated Operations of Electric Power and Transportation Networks via EV Charging Services
inferredcites →https://doi.org/10.1109/tsg.2021.3088290openalex-extracted
Privacy Preserving Load Control of Residential Microgrid via Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tsmcc.2007.913919openalex-extracted
A Comprehensive Survey of Multiagent Reinforcement Learning
inferredcites →https://doi.org/10.1109/tte.2021.3139674openalex-extracted
Dynamic Pricing for EV Charging Stations: A Deep Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/tvt.2020.2999617openalex-extracted
A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing
inferredcites →https://doi.org/10.1287/opre.2016.1535openalex-extracted
Exact Algorithms for Electric Vehicle-Routing Problems with Time Windows
inferredcites →https://doi.org/10.1287/trsc.2021.1102openalex-extracted
Electric Vehicle Charging Station Search in Stochastic Environments
inferredcites →https://doi.org/10.15807/jorsj.24.277openalex-extracted
ROUTING A VEHICLE WITH THE LIMITATION OF FUEL
inferredcites →https://doi.org/10.1609/aimag.v33i3.2426openalex-extracted
Multiagent Learning: Basics, Challenges, and Prospects
inferredcites →https://doi.org/10.23919/wiopt47501.2019.9144110openalex-extracted
Toward Packet Routing with Fully-distributed Multi-agent Deep Reinforcement Learning
inferredcites →https://doi.org/10.2478/v10229-011-0002-8openalex-extracted
Feature Reinforcement Learning: Part I. Unstructured MDPs
inferredcites →https://doi.org/10.25103/jestr.143.12openalex-extracted
Deep Reinforcement Learning Strategy for Electric Vehicle Charging Considering Wind Power Fluctuation
inferredcites →https://doi.org/10.3390/ai3020015openalex-extracted
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization
inferredcites →https://doi.org/10.3390/app13106016openalex-extracted
Electric Vehicles: Benefits, Challenges, and Potential Solutions for Widespread Adaptation
inferredcites →https://doi.org/10.3390/app13158919openalex-extracted
Comprehensive Review of Electric Vehicle Technology and Its Impacts: Detailed Investigation of Charging Infrastructure, Power Management, and Control Techniques
inferredcites →https://doi.org/10.3390/su14031884openalex-extracted
A Modified Rainbow-Based Deep Reinforcement Learning Method for Optimal Scheduling of Charging Station
inferredcites →https://doi.org/10.48550/arxiv.1805.07733openalex-extracted
Learning Attentional Communication for Multi-Agent Cooperation
inferredcites →https://doi.org/10.5555/1838206.1838301openalex-extracted
Learning multi-agent state space representations
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