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» Simplifying the Development of Intelligent Agents
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AAAI
1998
13 years 10 months ago
A Framework for Reinforcement Learning on Real Robots
Learning on real robots in an real, unaltered environment provides an extremely challenging problem. Many of the simplifying assumptions made in other areas of learning cannot be ...
William D. Smart, Leslie Pack Kaelbling
AAAI
2000
13 years 10 months ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
AAAI
1993
13 years 10 months ago
Model Simplification by Asymptotic Order of Magnitude Reasoning
One of the hardest problems in reasoning about a physical system is finding an approximate model that is mathematically tractable and yet captures the essence of the problem. Appr...
Kenneth Man-kam Yip
AAAI
1994
13 years 10 months ago
Lexical Acquisition in the Presence of Noise and Homonymy
This paper conjectures a computational account of how children might learn the meanings of words in their native language. First, a simplified version of the lexical acquisition t...
Jeffrey Mark Siskind
ITS
2004
Springer
129views Multimedia» more  ITS 2004»
14 years 2 months ago
Developing Learning by Teaching Environments That Support Self-Regulated Learning
Abstract. Betty’s Brain is a teachable agent system in the domain of river ecosystems that combines learning by teaching and self-regulation strategies to promote deep learning a...
Gautam Biswas, Krittaya Leelawong, Kadira Belynne,...