847 search results - page 80 / 170 » Learning Action Selection Network of Intelligent Agent |
120
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AAAI
1996
15 years 4 months ago
1996
This paper describes the results of applying a modified version of hierarchical task-network (HTN) planning to the problem of declarer play in contract bridge. We represent inform...
140
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ROBOCUP
2007
Springer
15 years 9 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
150
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MABS
1998
Springer
15 years 7 months ago
1998
Springer
In many domains, agent-based system modeling competes with equation-based approaches that identify system variables and evaluate or integrate sets of equations relating these varia...
135
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AAAI
2000
15 years 4 months ago
2000
As applications for artificially intelligent agents increase in complexity we can no longer rely on clever heuristics and hand-tuned behaviors to develop their programming. Even t...
131
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ICANN
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...