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GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 8 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
GECCO
2011
Springer
270views Optimization» more  GECCO 2011»
14 years 8 months ago
Geometric surrogate-based optimisation for permutation-based problems
In continuous optimisation, surrogate models (SMs) are used when tackling real-world problems whose candidate solutions are expensive to evaluate. In previous work, we showed that...
Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon
ICDT
2011
ACM
270views Database» more  ICDT 2011»
14 years 8 months ago
On the equivalence of distributed systems with queries and communication
Distributed data management systems consist of peers that store, exchange and process data in order to collaboratively achieve a common goal, such as evaluate some query. We study...
Serge Abiteboul, Balder ten Cate, Yannis Katsis
ICSE
2011
IEEE-ACM
14 years 8 months ago
Pragmatic prioritization of software quality assurance efforts
A plethora of recent work leverages historical data to help practitioners better prioritize their software quality assurance efforts. However, the adoption of this prior work in p...
Emad Shihab
MOBISYS
2011
ACM
14 years 7 months ago
Switchboard: a matchmaking system for multiplayer mobile games
— Supporting interactive, multiplayer games on mobile phones over cellular networks is a difficult problem. It is particularly relevant now with the explosion of mostly single-p...
Justin Manweiler, Sharad Agarwal, Ming Zhang, Romi...