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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Main Authors: | , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2016
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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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