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» Benefits of Learning in Negotiation
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SYNTHESE
2008
84views more  SYNTHESE 2008»
13 years 7 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
TEC
2010
120views more  TEC 2010»
13 years 2 months ago
Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms
This paper identifies five distinct mechanisms by which a population-based algorithm might have an advantage over a solo-search algorithm in classical optimization. These mechanism...
Adam Prügel-Bennett
AIED
2009
Springer
13 years 5 months ago
Investigating the Effects of Social Goals in a Negotiation Game with Virtual Humans
Educational games may be particularly suited to teaching social learning skills with virtual humans. We investigate the importance of social goals and engaging social interactions ...
Amy Ogan, Vincent Aleven, Christopher Jones
IAT
2008
IEEE
14 years 1 months ago
Negotiation in Semi-cooperative Agreement Problems
In this paper we introduce the Semi-Cooperative Extended Incremental Multiagent Agreement Problem with Preferences (SC-EIMAPP). In SC-EIMAPPs, variables arise over time. For each ...
Elisabeth Crawford, Manuela M. Veloso
ICRA
2006
IEEE
161views Robotics» more  ICRA 2006»
14 years 1 months ago
Quadruped Robot Obstacle Negotiation via Reinforcement Learning
— Legged robots can, in principle, traverse a large variety of obstacles and terrains. In this paper, we describe a successful application of reinforcement learning to the proble...
Honglak Lee, Yirong Shen, Chih-Han Yu, Gurjeet Sin...