Knowledge compilation for constrained combinatorial action spaces in reinforcement learning

Action-constrained reinforcement learning (ACRL), where any action taken in a state must satisfy given constraints, has several practical applications such as resource allocation in supply-demand matching, and path planning among others. A key challenge is to enforce constraints when the action spac...

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Bibliographic Details
Main Authors: LING, Jiajing, SCHULER, Moritz Lukas, KUMAR, Akshat, VARAKANTHAM, Pradeep
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8592
https://ink.library.smu.edu.sg/context/sis_research/article/9595/viewcontent/Knowledge_Compilation_for_Constrained_Combinatorial_Action_Spaces_in_Reinforcement_Learning.pdf
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Institution: Singapore Management University
Language: English

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