Sampling based approaches for minimizing regret in uncertain Markov Decision Problems (MDPs)
Markov Decision Processes (MDPs) are an effective model to represent decision processes in the presence of transitional uncertainty and reward tradeoffs. However, due to the difficulty in exactly specifying the transition and reward functions in MDPs, researchers have proposed uncertain MDP models a...
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| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | text |
| اللغة: | English |
| منشور في: |
Institutional Knowledge at Singapore Management University
2017
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/sis_research/3937 https://ink.library.smu.edu.sg/context/sis_research/article/4939/viewcontent/Sampling_based_approach_regret_MDP_JAIR_pv.pdf |
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