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» Learning the required number of agents for complex tasks
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PRL
2006
148views more  PRL 2006»
13 years 7 months ago
An agent based evolutionary approach to path detection for off-road vehicle guidance
This paper describes an ant colony optimization approach adopted to decide on road-borders to automatically guide a vehicle developed for the DARPA Grand Challenge 2004, available...
Alberto Broggi, Stefano Cattani
ATAL
2005
Springer
14 years 1 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
MAGS
2008
121views more  MAGS 2008»
13 years 7 months ago
A decentralized model for automated multi-attribute negotiations with incomplete information and general utility functions
This paper presents a decentralized model that allows self-interested agents to reach "win-win" agreements in a multi-attribute negotiation. The model is based on an alt...
Guoming Lai, Katia P. Sycara, Cuihong Li
AAAI
2007
13 years 10 months ago
Actively Exploring Creation of Face Space(s) for Improved Face Recognition
We propose a learning framework that actively explores creation of face space(s) by selecting images that are complementary to the images already represented in the face space. We...
Nitesh V. Chawla, Kevin W. Bowyer
IDEAL
2003
Springer
14 years 1 months ago
Detecting Distributed Denial of Service (DDoS) Attacks through Inductive Learning
As the complexity of Internet is scaled up, it is likely for the Internet resources to be exposed to Distributed Denial of Service (DDoS) flooding attacks on TCP-based Web servers....
Sanguk Noh, Cheolho Lee, Kyunghee Choi, Gihyun Jun...