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NIPS
2004
13 years 5 months ago
Exploration-Exploitation Tradeoffs for Experts Algorithms in Reactive Environments
A reactive environment is one that responds to the actions of an agent rather than evolving obliviously. In reactive environments, experts algorithms must balance exploration and ...
Daniela Pucci de Farias, Nimrod Megiddo
JACM
2006
93views more  JACM 2006»
13 years 4 months ago
Combining expert advice in reactive environments
"Experts algorithms" constitute a methodology for choosing actions repeatedly, when the rewards depend both on the choice of action and on the unknown current state of t...
Daniela Pucci de Farias, Nimrod Megiddo
ALT
2005
Springer
14 years 1 months ago
Defensive Universal Learning with Experts
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...
Jan Poland, Marcus Hutter
GECCO
2008
Springer
178views Optimization» more  GECCO 2008»
13 years 5 months ago
Agent Smith: a real-time game-playing agent for interactive dynamic games
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
Ryan K. Small
SSR
2001
104views more  SSR 2001»
13 years 5 months ago
Secure and efficient mobile agent application reuse using patterns
As wide-area open networks like the Internet and intranets grow larger, mobile agent technology is attracting more attention. Mobile agents are units of software that can deal wit...
Yasuyuki Tahara, Nobukazu Toshiba, Akihiko Ohsuga,...