| MIT Artificial Intelligence Laboratory Research Abstracts — 2000 |
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Foundations of Artificial Intelligence and Learning
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Joanna Bryson & Lynn Andrea Stein
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"Behavior Oriented Design: Methodology for Developing Adaptive
Intelligent Agents" 
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Terran Lane & Leslie Pack Kaelbling
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"Learning and Planning in Huge Uncertain Environments"
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Tim Oates & Leslie Pack Kaelbling
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"Learning Rich, Tractable Models of the Real World"
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Ryan Rifkin & Michelle Nadermann
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"SvmFu: Software For SVMs"
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Christian Shelton
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"Balancing Multiple Sources of Reward in Reinforcement Learning"
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William Smart & Leslie Pack Kaelbling
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"Making Reinforcement Learning Work on Real Robots"
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Martin Szummer
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"Learning from Partially Labeled Data"
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Kimberly G. Waters
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"Combining Strategies for Planning in Huge Uncertain
Domains"
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