Agent Trajectory Prediction in Urban Traffic Environments via Deep Reward Learning

Saleh, K; Mihaita, A-S; Chalup, S

Agent Trajectory Prediction in Urban Traffic Environments via Deep Reward Learning

Saleh, K Mihaita, A-S Chalup, S

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Publication Type:: Conference Proceeding
Citation:: 2024
Issue Date:: 2024-09-24

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Field	Value	Language
dc.contributor.author	Saleh, K
dc.contributor.author	Mihaita, A-S
dc.contributor.author	Chalup, S
dc.date	2024-09-24
dc.date.accessioned	2024-08-05T02:10:00Z
dc.date.available	2024-08-05T02:10:00Z
dc.date.issued	2024-09-24
dc.identifier.citation	2024
dc.identifier.uri	http://hdl.handle.net/10453/180014
dc.language	en
dc.relation.ispartof	27th IEEE International COnference on intelligent Transportation Systems
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.rights	© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.title	Agent Trajectory Prediction in Urban Traffic Environments via Deep Reward Learning
dc.type	Conference Proceeding
utslib.location.activity	Edmonton, Canada
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/All Manual Groups
pubs.organisational-group	University of Technology Sydney/All Manual Groups/Data Science Institute (DSI)
pubs.organisational-group	University of Technology Sydney/Strength - DSI - Data Science Institute
utslib.copyright.status	recently_added	*
pubs.consider-herdc	false
dc.date.updated	2024-08-05T02:09:59Z
pubs.finish-date	2024-09-27
pubs.publication-status	Accepted
pubs.start-date	2024-09-24

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/180014