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» Learning and Applying Competitive Strategies
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CF
2010
ACM
15 years 5 months ago
Variant-based competitive parallel execution of sequential programs
Competitive parallel execution (CPE) is a simple yet attractive technique to improve the performance of sequential programs on multi-core and multi-processor systems. A sequential...
Oliver Trachsel, Thomas R. Gross
100
Voted
IJCAI
2007
15 years 2 months ago
A Game-Theoretic Analysis of Strictly Competitive Multiagent Scenarios
This paper is a comparative study of game-theoretic solution concepts in strictly competitive multiagent scenarios, as commonly encountered in the context of parlor games, competi...
Felix Brandt, Felix A. Fischer, Paul Harrenstein, ...
83
Voted
IEPOL
2010
110views more  IEPOL 2010»
14 years 9 months ago
Competition against peer-to-peer networks
In this paper, we consider the competition of providers of information products against P2P networks that offer illegal versions of the information products. Depending on the gene...
P. Jean-Jacques Herings, Ronald Peeters, Michael S...
94
Voted
GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
15 years 7 months ago
Neuroevolutionary reinforcement learning for generalized helicopter control
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
Rogier Koppejan, Shimon Whiteson
105
Voted
APSCC
2008
IEEE
15 years 7 months ago
Adaptive Learning Sequencing for Course Customization: A Web Service Approach
— We discuss a learning model that enables the creation of optimal learning strategies that suit learners’ needs. A customized learning content is delivered to learners as mana...
Ivan Madjarov, Abdelkader Bétari