PALSY
发表于 2025-3-23 09:48:41
http://reply.papertrans.cn/19/1806/180555/180555_11.png
象形文字
发表于 2025-3-23 15:52:42
http://reply.papertrans.cn/19/1806/180555/180555_12.png
魔鬼在游行
发表于 2025-3-23 18:20:28
http://reply.papertrans.cn/19/1806/180555/180555_13.png
Adjourn
发表于 2025-3-24 00:21:45
http://reply.papertrans.cn/19/1806/180555/180555_14.png
祝贺
发表于 2025-3-24 05:24:12
http://reply.papertrans.cn/19/1806/180555/180555_15.png
Ceramic
发表于 2025-3-24 07:06:24
Springers Handbücher der Rechtswissenschafts has been our convention in the Bernoulli case, we regard .. as a distribution on the Bernoulli parameter .. ∈ rather than on .. ∈ D; and consistent with an earlier modification of notation, we write the conditional distribution of (.., ..,...,..) given success on arm 1, say, as. and given a
值得赞赏
发表于 2025-3-24 13:31:37
https://doi.org/10.1007/978-3-7091-8265-9died in .., now abbreviated to ., the distribution of the random measure ... For arbitrary . we can, without loss, assume that arm 2 always produces the known observation . Since . is given by the pair (.), we now speak of the (., .; .)-bandit.
Foment
发表于 2025-3-24 17:08:52
https://doi.org/10.1007/978-3-7091-8265-9en the problem is to maximize the sum of . observations. When . is unknown the corresponding random discount sequence can be taken to be nonrandom (see Section 3.1); it can be any nonincreasing sequence depending on the uncertainty in .. As a special case suppose . has a geometric distribution; so t
滔滔不绝地说
发表于 2025-3-24 21:13:59
Handbuch diagnostische Radiologience . has horizon n and is uniform: . . = ... = . . = 1 and . . = . . = ... = 0. Such uniform discounting has been considered extensively through examples in the first five chapters of this book, and in the literature generally. The objective implicit in uniform discounting is to maximize the expect
入伍仪式
发表于 2025-3-24 23:23:43
http://reply.papertrans.cn/19/1806/180555/180555_20.png