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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 2 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
AAAI
1996
13 years 10 months ago
Post-Analysis of Learned Rules
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
Bing Liu, Wynne Hsu
ICFP
1999
ACM
14 years 1 months ago
Principals in Programming Languages: A Syntactic Proof Technique
Programs are often structured around the idea that different pieces of code comprise distinct principals, each with a view of its environment. Typical examples include the module...
Steve Zdancewic, Dan Grossman, J. Gregory Morriset...
DAC
1994
ACM
14 years 27 days ago
Design Methodology Management Using Graph Grammars
In this paper, we present a design methodology management system, which assists designers in selecting a suitable design process and invoking the selected sequence of tools on the...
Reid A. Baldwin, Moon-Jung Chung
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
14 years 13 days ago
Evolving musical performance profiles using genetic algorithms with structural fitness
This paper presents a system that uses Genetic Algorithm (GA) to evolve hierarchical pulse sets (i.e., hierarchical duration vs. amplitude matrices) for expressive music performan...
Qijun Zhang, Eduardo Reck Miranda