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CHI
2005
ACM
16 years 7 months ago
Beyond being in the lab: using multi-agent modeling to isolate competing hypotheses
In studies of virtual teams, it is difficult to determine pure effects of geographic isolation and uneven communication technology. We developed a multi-agent computer model in Ne...
Ning Nan, Erik W. Johnston, Judith S. Olson, Natha...
LICS
2005
IEEE
16 years 4 days ago
Inverse and Implicit Functions in Domain Theory
We construct a domain-theoretic calculus for Lipschitz and differentiable functions, which includes addition, subtraction and composition. We then develop a domaintheoretic versio...
Abbas Edalat, Dirk Pattinson
ICML
2003
IEEE
15 years 11 months ago
The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping
Shaping can be an effective method for improving the learning rate in reinforcement systems. Previously, shaping has been heuristically motivated and implemented. We provide a for...
Adam Laud, Gerald DeJong
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 10 months ago
Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasit
This paper presents a novel approach for a free structure analog circuit design using Genetic Algorithms (GA). A major problem in a free structure circuit is its sensitivity calcu...
Yaser M. A. Khalifa, Badar K. Khan, Faisal Taha
ATAL
2010
Springer
15 years 6 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko