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» Abstraction in Predictive State Representations
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APN
2004
Springer
15 years 3 months ago
Time Petri Nets with Inhibitor Hyperarcs. Formal Semantics and State Space Computation
Abstract. In this paper, we define Time Petri Nets with Inhibitor Hyperarcs (IHTPN) as an extension of T-time Petri nets where time is associated with transitions. In this model, ...
Olivier H. Roux, Didier Lime
CVIU
2004
132views more  CVIU 2004»
14 years 9 months ago
Layered representations for learning and inferring office activity from multiple sensory channels
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
Nuria Oliver, Ashutosh Garg, Eric Horvitz
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
15 years 4 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
DDECS
2006
IEEE
88views Hardware» more  DDECS 2006»
15 years 3 months ago
Minimization of Large State Spaces using Symbolic Branching Bisimulation
Abstract: Bisimulations in general are a powerful concept to minimize large finite state systems regarding some well-defined observational behavior. In contrast to strong bisimul...
Ralf Wimmer, Marc Herbstritt, Bernd Becker
FORMATS
2008
Springer
14 years 11 months ago
Parametric Model-Checking of Time Petri Nets with Stopwatches Using the State-Class Graph
Abstract. In this paper, we propose a new framework for the parametric verification of time Petri nets with stopwatches controlled by inhibitor arcs. We first introduce an extensio...
Louis-Marie Traonouez, Didier Lime, Olivier H. Rou...