4817 search results - page 281 / 964 » Learning Models of Intelligent Agents |
131
Voted
AAAI
2006
15 years 2 months ago
2006
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
108
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JCP
2008
15 years 1 months ago
2008
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
145
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ATAL
2011
Springer
14 years 1 months ago
2011
Springer
Narrative time has an important role to play in Interactive Storytelling (IS) systems. In contrast to prevailing IS approaches which use implicit models of time, in our work we ha...
118
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CIA
2008
Springer
15 years 3 months ago
2008
Springer
This paper presents the design of an open architecture for heterogeneous negotiating agents. Both the system level architecture as well as the architecture for negotiating agents a...
113
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ATAL
2005
Springer
15 years 6 months ago
2005
Springer
The behavior of an agent is defined through the specification of plans and actions. Agents have a set of plans that are selected to be executed according to their goals (and other...