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» Learning Simulation Control in General Game-Playing Agents
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IJCAI
2003
14 years 11 months ago
Simultaneous Adversarial Multi-Robot Learning
Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
Michael H. Bowling, Manuela M. Veloso
ICML
1994
IEEE
15 years 1 months ago
A Modular Q-Learning Architecture for Manipulator Task Decomposition
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Chen K. Tham, Richard W. Prager
95
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ATAL
2007
Springer
15 years 3 months ago
Cooperative evolution of service ontologies
Most of the proposed approaches in automatic service selection assume the existence of a common ontology among communicating agents. However, this assumption becomes difficult to...
Murat Sensoy, Pinar Yolum
ANSS
2002
IEEE
15 years 2 months ago
Temporal Uncertainty Time Warp: An Agent-Based Implementation
This paper introduces TUTW – Temporal Uncertainty Time Warp – a control engine designed for an exploitation of temporal uncertainty (TU) in general optimistic simulations, and...
Roberto Beraldi, Libero Nigro, Antonino Orlando, F...
AAAI
2008
15 years 21 hour ago
A Case Study on the Critical Role of Geometric Regularity in Machine Learning
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
Jason Gauci, Kenneth O. Stanley