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