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AAAI
2006
15 years 1 months ago
Unifying Logical and Statistical AI
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...
ICML
2010
IEEE
15 years 25 days ago
Convergence of Least Squares Temporal Difference Methods Under General Conditions
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
Huizhen Yu
CORR
2008
Springer
91views Education» more  CORR 2008»
14 years 12 months ago
Significant Diagnostic Counterexamples in Probabilistic Model Checking
Abstract. This paper presents a novel technique for counterexample generation in probabilistic model checking of Markov chains and Markov Decision Processes. (Finite) paths in coun...
Miguel E. Andrés, Pedro R. D'Argenio, Peter...
ICML
2004
IEEE
16 years 17 days ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
MOR
2006
79views more  MOR 2006»
14 years 11 months ago
The Value of Markov Chain Games with Lack of Information on One Side
We consider a two-player zero-sum game given by a Markov chain over a finite set of states K and a family of zero-sum matrix games (Gk)kK. The sequence of states follows the Marko...
Jérôme Renault