Generative modelling of stochastic actions with arbitrary constraints in reinforcement learning
Many problems in Reinforcement Learning (RL) seek an optimal policy with large discrete multidimensional yet unordered action spaces; these include problems in randomized allocation of resources such as placements of multiple security resources and emergency response units, etc. A challenge in this...
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Main Authors: | CHEN, Changyu, KARUNASENA, Ramesha, NGUYEN, Thanh Hong, SINHA, Arunesh, VARAKANTHAM, Pradeep |
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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/8589 https://ink.library.smu.edu.sg/context/sis_research/article/9592/viewcontent/Generative.pdf |
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Institution: | Singapore Management University |
Language: | English |
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