754 search results - page 33 / 151 » Learning executable agent behaviors from observation |
129
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ATAL
2007
Springer
15 years 10 months ago
2007
Springer
Tags or observable features shared by a group of similar agents are effectively used in real and artificial societies to signal intentions and can be used to infer unobservable ...
155
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IJCAI
2001
15 years 5 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
132
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ATAL
2005
Springer
15 years 9 months ago
2005
Springer
2. THE MASM ALGORITHM An input to the MASM algorithm is a time-annotated multi-agent action sequence. The action sequence is then transformed into an action graph. An action graph ...
158
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AMAI
1999
Springer
15 years 4 months ago
1999
Springer
In this paper we present an extension of logic programming (LP) that is suitable not only for the "rational" component of a single agent but also for the "reactive&...
104
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AAAI
1997
15 years 5 months ago
1997
Recent research in machine learning has focused on supervised induction for simple classi cation and reinforcement learning for simple reactive behaviors. In the process, the eld ...