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FPCA
1993
15 years 6 months ago
Benchmarking Implementations of Lazy Functional Languages
Five implementations of di erent lazy functional languages are compared using a common benchmark of a dozen medium size programs. The benchmarking procedure has been designed such...
Pieter H. Hartel, Koen Langendoen
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 6 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
CSMR
1999
IEEE
15 years 6 months ago
Impact of Function Pointers on the Call Graph
Maintenance activities are made more difficult when pointers are heavily used in source code: the programmer needs to build a mental model of memory locations and of the way they ...
Giuliano Antoniol, F. Calzolari, Paolo Tonella
MICS
2008
108views more  MICS 2008»
15 years 2 months ago
Efficient Intensional Implementation for Lazy Functional Languages
The intensional transformation is a technique that can be used in order to eliminate higher-order functions from a functional program by introducing appropriate context manipulatio...
Angelos Charalambidis, Athanasios Grivas, Nikolaos...
114
Voted
CORR
2010
Springer
170views Education» more  CORR 2010»
15 years 2 months ago
Global Optimization for Value Function Approximation
Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bili...
Marek Petrik, Shlomo Zilberstein