288 search results - page 27 / 58 » Risk-averse dynamic programming for Markov decision processe... |
ICALP
2009
Springer
16 years 1 days ago
2009
Springer
We define stochastic timed games, which extend two-player timed games with probabilities (following a recent approach by Baier et al), and which extend in a natural way continuous-...
112
click to vote
AAAI
2006
15 years 1 months ago
2006
DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
DATE
2007
IEEE
15 years 6 months ago
2007
IEEE
This paper tackles the problem of dynamic power management (DPM) in nanoscale CMOS design technologies that are typically affected by increasing levels of process, voltage, and te...
UAI
2008
15 years 1 months ago
2008
Approximate linear programming (ALP) is an efficient approach to solving large factored Markov decision processes (MDPs). The main idea of the method is to approximate the optimal...
ICML
2008
IEEE
16 years 17 days ago
2008
IEEE
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...