Optimizing expectation with guarantees in POMDPs
A standard objective in partially-observable Markov decision processes (POMDPs) is to find a policy that maximizes the expected discounted-sum payoff. However, such policies may still permit unlikely but highly undesirable outcomes, which is problematic especially in safety-critical applications. Re...
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| التنسيق: | text |
| اللغة: | English |
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Institutional Knowledge at Singapore Management University
2017
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| الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/sis_research/9071 https://ink.library.smu.edu.sg/context/sis_research/article/10074/viewcontent/11046_13_14574_1_2_20201228.pdf |
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