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» Planning, Learning, and Executing in Autonomous Systems
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IWCLS
2007
Springer
14 years 2 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
ICRA
2000
IEEE
136views Robotics» more  ICRA 2000»
14 years 8 days ago
Recent Progress in Local and Global Traversability for Planetary Rovers
Autonomous planetary rovers operating in vast unknown environments must operate efficiently because of size, power and computing limitations. Recently, we have developed a rover c...
Sanjiv Singh, Reid G. Simmons, Trey Smith, Anthony...
OOPSLA
2005
Springer
14 years 1 months ago
Ercatons and organic programming: say good-bye to planned economy
Organic programming (OP) is our proposed and already emerging programming model which overcomes some of the limitations of current practice in software development in general and ...
Oliver Imbusch, Falk Langhammer, Guido von Walter
ATAL
2006
Springer
13 years 11 months ago
Action awareness: enabling agents to optimize, transform, and coordinate plans
As agent systems are solving more and more complex tasks in increasingly challenging domains, the systems themselves are becoming more complex too, often compromising their adapti...
Freek Stulp, Michael Beetz
VLDB
2001
ACM
190views Database» more  VLDB 2001»
14 years 9 days ago
LEO - DB2's LEarning Optimizer
Most modern DBMS optimizers rely upon a cost model to choose the best query execution plan (QEP) for any given query. Cost estimates are heavily dependent upon the optimizer’s e...
Michael Stillger, Guy M. Lohman, Volker Markl, Mok...