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» Learning Action Selection Network of Intelligent Agent
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91
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IDEAL
2004
Springer
15 years 8 months ago
Generating and Applying Rules for Interval Valued Fuzzy Observations
Abstract. One of the objectives of intelligent data engineering and automated learning is to develop algorithms that learn the environment, generate rules, and take possible course...
André de Korvin, Chenyi Hu, Ping Chen
126
Voted
ECAL
2007
Springer
15 years 9 months ago
The Dynamics of Associative Learning in an Evolved Situated Agent
Abstract. Artificial agents controlled by dynamic recurrent node networks with fixed weights are evolved to search for food and associate it with one of two different temperatur...
Eduardo Izquierdo, Inman Harvey
140
Voted
ATAL
2010
Springer
15 years 3 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
125
Voted
IJCNN
2008
IEEE
15 years 9 months ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...
ATAL
2008
Springer
15 years 5 months ago
A few good agents: multi-agent social learning
In this paper, we investigate multi-agent learning (MAL) in a multi-agent resource selection problem (MARS) in which a large group of agents are competing for common resources. Si...
Jean Oh, Stephen F. Smith