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» Learning for stochastic dynamic programming
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JAIR
2007
127views more  JAIR 2007»
15 years 1 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
ICLA
2011
Springer
14 years 5 months ago
A Stochastic Interpretation of Propositional Dynamic Logic: Expressivity
We propose a probabilistic interpretation of Propositional Dynamic Logic (PDL). We show that logical and behavioral equivalence are equivalent over general measurable spaces. This...
Ernst-Erich Doberkat
DAC
2000
ACM
16 years 2 months ago
Dynamic power management of complex systems using generalized stochastic Petri nets
In this paper, we introduce a new technique for modeling and solving the dynamic power management (DPM) problem for systems with complex behavioral characteristics such as concurr...
Qinru Qiu, Qing Wu, Massoud Pedram
JMLR
2010
148views more  JMLR 2010»
14 years 8 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
GRID
2004
Springer
15 years 7 months ago
A Stochastic Control Model for Deployment of Dynamic Grid Services
We introduce a formal model for deployment and hosting of a dynamic grid service wherein the service provider must pay a resource provider for the use of computational resources. ...
Darin England, Jon B. Weissman