A reinforcement learning framework for trajectory prediction under uncertainty and budget constraint

A reinforcement learning framework for trajectory prediction under uncertainty and budget constraint

We consider the problem of trajectory prediction, where a trajectory is an ordered sequence of location visits and corresponding timestamps. The problem arises when an agent makes sequential decisions to visit a set of spatial locations of interest. Each location bears a stochastic utility and the a...

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Bibliographic Details
Main Authors: LE, Truc Viet, LIU, Siyuan, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
Subjects:
Artificial Intelligence and Robotics
Computer Sciences
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/3364
https://ink.library.smu.edu.sg/context/sis_research/article/4366/viewcontent/ReinforcementLearningFramework.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/3364
https://ink.library.smu.edu.sg/context/sis_research/article/4366/viewcontent/ReinforcementLearningFramework.pdf

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