Building action sets in a deep reinforcement learner
In many policy-learning applications, the agent may execute a set of actions at each decision stage. Choosing among an exponential number of alternatives poses a computational challenge, and even representing actions naturally expressed as sets can be a tricky design problem. Building upon prior app...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/6785 https://ink.library.smu.edu.sg/context/sis_research/article/7788/viewcontent/ICMLA_21_final_1_.pdf |
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| Institution: | Singapore Management University |
| Language: | English |