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
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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