对“具有递归奖励函数的马尔可夫决策过程”的修正

N. Furukawa, Seiichi Iwamoto
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引用次数: 3

摘要

在上面的文章(牛。数学。中央集权。第15卷,第3-4卷,79-91页),在定理5.1及其推论中,除了假设(II),我们还需要设置假设(I)。文章中对定理5.1的证明是不完整的。第85页底部第3行-第86页顶部第7行应该是:对于T = r/N,存在一个Borel可测量映射fN,使得EN-1ng=7rNqg(sN, aN, sN- fi, EN7cg) -5 _fNqg(sN, aN, sN+1, ENrg)+ t1 K1K2•••KN-1 with Prig•••7N-1q-prob。1 . 即EN-17'g Elf-v-v7,1g-Fr IK,K,——•KN_1与Prig -••7N-ig-prob。1. 根据假设(I)和(II),我们得到zN-14g(sN-1, aN_i, sN, EN-17'g) 7r N-igg(sN-1, aN-1, sN, E - IfN,N7og+rIK,K,。••KN_,)与Prig••••7N-1g-prob。1 .;7rN-1(1g(SN -1, aN-1, SN, E (fN,N,r1g)-Fr IK1K2••••KN-2与Prig••••7rN-2q-prob。1. 使用此过程N次将产生一个Markov策略7r* = {f1, f2, -},使得E'rg< Elf Df 2,-,f N, nlog - nr = E'g+ E, p - probb。1,
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CORRECTION TO "MARKOVIAN DECISION PROCESSES WITH RECURSIVE REWARD FUNCTIONS"
In the above article (Bull. Math. Statist. Vol. 15, No. 3-4, 79-91), in Theorem 5.1 and its Corollary we need to set Assumption (I) in addition to Assumption (II). The proof of Theorem 5.1 made in the article is incomplete. Line 3 from the bottom of page 85-line 7 from the top of page 86 should read : For T = r/N there exists a Borel measurable map f N such that EN-1ng=7rNqg(sN, aN, sN-Fi, EN7cg) —5 _fNqg(sN, aN, sN+1, ENrg)+T I K1K2 ••• KN-1 with Prig ••• 7N-1q—prob. 1 . That is, EN-17'g Elf-v-v7,1g-Fr IK,K,--• KN_1 with Prig -•• 7N-ig—prob. 1. By Assumptions (I) and (II) we have zN-14g(sN-1, aN_i, sN, EN-17'g) 7r N-igg(sN-1, aN-1, SN, E IfN,N7og+rIK,K,.•• KN_,) with Prig ••• 7N-1g—prob. 1 . . 7rN-1(1g(sN-1, aN-1, SN, E (fN,N,r1g)-Fr IK1K2••• KN-2 with Prig ••• 7rN-2q—prob. 1. Using this procedure N times will produce a Markov policy 7r* = {f1, f2, -} such that E'rg< Elf Df 2,-,f N,Nlogd-Nr = E'g+e with p—prob. 1,
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