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ATAL
2010
Springer
13 years 9 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
AMAI
2004
Springer
14 years 1 months ago
2004
Springer
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state spac...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Virtual human research has often modeled nonverbal behaviors based on the findings of psychological research. In recent years, however, there have been growing efforts to use auto...
IVA
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, we propose a new integration approach to simulate an Autonomous Virtual Agent's cognitive learning of a task for interactive Virtual Environment applications. O...
DAGSTUHL
2007
13 years 9 months ago
2007
Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...