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GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
12 years 11 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
ERCIMDL
2007
Springer
115views Education» more  ERCIMDL 2007»
14 years 2 months ago
The Semantic GrowBag Algorithm: Automatically Deriving Categorization Systems
Using keyword search to find relevant objects in digital libraries often results in way too large result sets. Based on the metadata associated with such objects, the faceted sear...
Jörg Diederich, Wolf-Tilo Balke
AAAI
2011
12 years 8 months ago
Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!
Utility elicitation is an important component of many applications, such as decision support systems and recommender systems. Such systems query users about their preferences and ...
Paolo Viappiani, Craig Boutilier
CGF
2008
92views more  CGF 2008»
13 years 8 months ago
Smart Motion Synthesis
Creating long motion sequences is a time-consuming task even when motion capture equipment or motion editing tools are used. In this paper, we propose a system for creating a long...
Masaki Oshita
AHS
2007
IEEE
262views Hardware» more  AHS 2007»
13 years 9 months ago
A Reed-Solomon Algorithm for FPGA Area Optimization in Space Applications
This work describes an algebraic based design strategy targeting area optimization in reconfigurable computer technology (FPGA). Area optimization is a major issue as smaller comp...
Gabriel Marchesan Almeida, Eduardo Augusto Bezerra...