AI Lunch in the Fall of 1998

September 11 Organizational Meeting
September 18 Solving POMDPS by Committing to Reactive Policies - Nicolas Meuleau
September 25 Discovering Transcription Regulatory Elements in the Yeast Genome - Sonia Leach
October 1 Collaborative Planning and Human-Computer Communication - Barbara Grosz
October 9 The Naive Physics Perplex by Ernest Davis - Kee-Eung Kim
October 16 Learning to Plan in Continuous Domains by Gerald F. DeJong - Leonid Peshkin
October 23 Numerical Methods for MDPs - Kee-Eung Kim
October 29 Getting the Best of Both Discretization and Parametric Fitting - Moises Goldszmidt
October 30 Risk Sensitive Markov Decision Processes (Part I) - Nicolas Meuleau
November 5 From AI Methodology to Internet Startup: The Story of the Softbots Project - Oren Etzioni
November 6 Risk Sensitive Markov Decision Processes (Part II) - Nicolas Meuleau
November 13 Notes on Methods Based on Maximum-Likelihood Estimation for Learning the parameters of the Mixture of Gaussians Model (Part I) - Luis Ortiz
November 19 [Dept Colloquium & IGERT] Accelerated Learning with Condensed Representations - Andrew Moore
November 20 Thesis Defense Practice Talk - Hagit Shatkay
November 24 Thesis Defense - Hagit Shatkay
Uncertainty in Mobile Robotics - Sebastian Thrun
November 27 Thanksgiving Break
December 4 (Goldman-Sachs Visit)
December 11 Notes on Methods Based on Maximum-Likelihood Estimation for Learning the parameters of the Mixture of Gaussians Model (Part II) - Luis Ortiz

Kee-Eung Kim