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» Learning Action Selection Network of Intelligent Agent
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AAAI
2006
15 years 4 months ago
Disco - Novo - GoGo: Integrating Local Search and Complete Search with Restarts
A hybrid algorithm is devised to boost the performance of complete search on under-constrained problems. We suggest to use random variable selection in combination with restarts, ...
Meinolf Sellmann, Carlos Ansótegui
122
Voted
ATAL
2007
Springer
15 years 9 months ago
Robust coordination to sustain throughput of an unstable agent network
We present a multi-agent coordination technique to maintain throughput of a large-scale agent network system in the face of failures of agents. Failures do not just deteriorate th...
Rajesh Gautam, Kazuo Miyashita
FLAIRS
2003
15 years 4 months ago
Cost-Based Policy Mapping for Imitation
Imitation represents a powerful approach for programming and autonomous learning in robot and computer systems. An important aspect of imitation is the mapping of observations to ...
Srichandan V. Gudla, Manfred Huber
AIIA
2007
Springer
15 years 9 months ago
Music Expression Understanding Based on a Joint Semantic Space
A paradigm for music expression understanding based on a joint semantic space, described by both affective and sensorial adjectives, is presented. Machine learning techniques were...
Luca Mion, Giovanni De Poli
138
Voted
AAAI
2010
15 years 4 months ago
Automatic Derivation of Finite-State Machines for Behavior Control
Finite-state controllers represent an effective action selection mechanisms widely used in domains such as video-games and mobile robotics. In contrast to the policies obtained fr...
Blai Bonet, Héctor Palacios, Hector Geffner