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ICANN
1997
Springer
13 years 12 months ago
On Learning Soccer Strategies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy but may behave differently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
14 years 10 days ago
Benchmarking the NEWUOA on the BBOB-2009 function testbed
The NEWUOA which belongs to the class of Derivative-Free optimization algorithms is benchmarked on the BBOB-2009 noisefree testbed. A multistart strategy is applied with a maximum...
Raymond Ros
TFS
2008
157views more  TFS 2008»
13 years 7 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
AIPS
2008
13 years 10 months ago
Useless Actions Are Useful
Planning as heuristic search is a powerful approach to solving domain independent planning problems. In recent years, various successful heuristics and planners like FF, LPG, FAST...
Martin Wehrle, Sebastian Kupferschmid, Andreas Pod...
W4A
2006
ACM
14 years 1 months ago
Evaluating interfaces for intelligent mobile search
Recent developments in the mobile phone market have led to a significant increase in the number of users accessing the Mobile Internet. Handsets have been improved to support a d...
Karen Church, Barry Smyth, Mark T. Keane