Sampling based approaches for minimizing regret in uncertain Markov Decision Problems (MDPs)

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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書目詳細資料
Main Authors:	AHMED, Asrar, VARAKANTHAM, Pradeep, LOWALEKAR, Meghna, ADULYASAK, Yossiri, JAILLET, Patrick
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2017
主題:	Artificial Intelligence and Robotics Theory and Algorithms
在線閱讀:	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
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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