Policy-Based Reinforcement Learning for Training Autonomous Driving Agents in Urban Areas With Affordance Learning
Version 2 2024-06-06, 08:14
Version 1 2021-11-08, 08:01
journal contribution
posted on 2024-06-06, 08:14 authored by M Ahmed, A Abobakr, Chee Peng Lim, S NahavandiPolicy-Based Reinforcement Learning for Training Autonomous Driving Agents in Urban Areas With Affordance Learning
History
Journal
IEEE Transactions on Intelligent Transportation SystemsVolume
23Pagination
1 - 10Location
Piscataway, N.J.ISSN
1524-9050eISSN
1558-0016Language
EnglishPublication classification
C1 Refereed article in a scholarly journalIssue
8Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
Categories
Keywords
Science & TechnologyTechnologyEngineering, CivilEngineering, Electrical & ElectronicTransportation Science & TechnologyEngineeringTransportationAffordancesTrainingAutonomous vehiclesUrban areasTask analysisPredictive modelsPlanningAutonomous drivingaffordance predictionsdeep deterministic policy gradient3509 Transportation, logistics and supply chains4007 Control engineering, mechatronics and robotics
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC