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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Main Authors: | LING, Jiajing, SCHULER, Moritz Lukas, KUMAR, Akshat, VARAKANTHAM, Pradeep |
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Format: | text |
Language: | English |
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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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