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» Planning with predictive state representations
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ASMTA
2008
Springer
167views Mathematics» more  ASMTA 2008»
13 years 11 months ago
Perfect Simulation of Stochastic Automata Networks
The solution of continuous and discrete-time Markovian models is still challenging mainly when we model large complex systems, for example, to obtain performance indexes of paralle...
Paulo Fernandes, Jean-Marc Vincent, Thais Webber
HICSS
2003
IEEE
207views Biometrics» more  HICSS 2003»
14 years 3 months ago
Formalizing Multi-Agent POMDP's in the context of network routing
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
Bharaneedharan Rathnasabapathy, Piotr J. Gmytrasie...
ABIALS
2008
Springer
14 years 4 months ago
Anticipative Control of Voluntary Action: Towards a Computational Model
Abstract. Human action is goal-directed and must thus be guided by anticipations of wanted action effects. How anticipatory action control is possible and how it can emerge from ex...
Pascal Haazebroek, Bernhard Hommel
HCI
2009
13 years 7 months ago
Towards Cognitive-Aware Multimodal Presentation: The Modality Effects in High-Load HCI
In this study, we argue that multimodal presentations should be created in a cognitive-aware manner, especially in a high-load HCI situation where the user task challenges the full...
Yujia Cao, Mariët Theune, Anton Nijholt
JMLR
2010
112views more  JMLR 2010»
13 years 4 months ago
Reduced-Rank Hidden Markov Models
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon