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124
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ICML
2009
IEEE
16 years 4 months ago
Model-free reinforcement learning as mixture learning
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
Nikos Vlassis, Marc Toussaint
107
Voted
CDC
2008
IEEE
110views Control Systems» more  CDC 2008»
15 years 10 months ago
Multistage investments with recourse: A single-asset case with transaction costs
— We consider a financial decision problem involving dynamic investment decisions on a single risky instrument over multiple and discrete time periods. Investment returns are as...
Ufuk Topcu, Giuseppe Carlo Calafiore, Laurent El G...
292
Voted
PRDC
1999
IEEE
15 years 8 months ago
Availability and Performance Evaluation for Automatic Protection Switching in TDMA Wireless System
In this paper, we compare the availability and performance of a wireless TDMA system with and without automatic protection switching. Stochastic reward net models are constructed ...
Hairong Sun, Yonghuan Cao, Kishor S. Trivedi, Jame...
88
Voted
SIGPRO
2010
73views more  SIGPRO 2010»
15 years 2 months ago
Continuous-time and continuous-discrete-time unscented Rauch-Tung-Striebel smoothers
This article considers the application of the unscented transformation to approximate fixed-interval optimal smoothing of continuous-time non-linear stochastic systems. The propo...
Simo Särkkä
109
Voted
IJMMSC
2010
62views more  IJMMSC 2010»
14 years 10 months ago
Conditional Processes Induced by Birth and Death Processes
For birth and death processes with finite state space consisting of N + 1 points (N 2), we consider stochastic processes induced by conditioning on hitting the right boundary poi...
Masaru Iizuka, Matsuyo Tomisaki