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touch based pomdp manipulation via sequential submodular optimization ngo anh vien and marc toussaint abstract— exploiting the submodularity of entropy-related objectives…
pomdp tutorial preliminaries: problem definition • agent model, pomdp, bayesian rl world bbelief policy π actoractor transition dynamics action observation markov decision…
planning and acting in partially observable stochastic demains by leslie pack kaelbling, michael l. littman, anthony r. cassandra artificial intelligence 101 (jan 1998) 99-134…
pomdp-approxoverview 11/9/17 2 review • finite horizon pomdp value function is piecewise linear and convex (for arbitrary horizon lengths) • max over a set of “alpha”
1 symbolic symbolic perseusperseus: : a generic a generic pomdp algorithm with pomdp algorithm with application to dynamic pricing application to dynamic pricing with demand…
fast semidifferential-based submodular function optimization - iyer13.pdf
optimal policies for pomdp presented by alp sardağ as much reward as possible? greedy agent how long agent take decision? finite horizon infinite horizon (discount factor)…
強化確率ロボットモデルでの 逆強化学習について 2016/01/31 @mabonakai0725 趣旨 1.自立的ロボット(工作機械、自動運転)は po-mdfのアルゴリズムで一般に記述できる…
強化確率ロボットモデルでの 逆強化学習について 2016/01/31 @mabonakai0725 趣旨 1.自立的ロボット(工作機械、自動運転)は po-mdfのアルゴリズムで一般に記述できる…
personalized robot tutoring using the assistive tutor pomdp at-pomdp aditi ramachandran* sarah strohkorb sebo* brian scassellati computer science yale university new haven…
submodular function maximization andreas krause (eth zurich) daniel golovin (google) submodularity1 is a property of set functions with deep theoretical consequences and…
online submodular optimization problems menglong li april 26, 2018 menglong li uiuc short title april 26, 2018 1 24 overview 1 the reason 2 online convex optimization oco…
optimization of submodular functions tutorial - lecture ii jan vondrák1 1ibm almaden research center san jose ca jan vondrák ibm almaden submodular optimization tutorial…
satoru iwata rims kyoto university submodular functions in graph theory submodular functions • cut capacity functions • matroid rank functions • entropy functions…
submodular hamming metrics jennifer gillenwater† rishabh iyer† bethany lusch∗ rahul kidambi† jeff bilmes† † university of washington dept of ee seattle usa ∗…
submodular function minimization collette coullard ima and northwestern university november 25, 2002 outline introduction to submodular function minimization (sfm) definitions…
* maximizing submodular functions minimizing convex functions: polynomial time solvable! minimizing submodular functions: polynomial time solvable! maximizing convex functions:…
learning submodular functions learning submodular functions nick harvey, waterloo c&o joint work with nina balcan, georgia tech distribution d on {0,1}n computational…
learning submodular functions learning submodular functions nick harvey university of waterloo joint work with nina balcan, georgia tech submodular functions v={1,2, …,…
http://bicmr.pku.edu.cn/~wenzw/bigdata2018.html acknowledgement: this slides is based on prof. andreas krause’s, prof. jeff bilmes, prof. francis bach and prof. shaddin