Machine Learning
and Friends at CMU

The 1999 RL talks:

December 13		Joseph O'Sullivan, Learning with Curricula, Slides
December 6		Jonathan Baxter, Direct Gradient-Based Reinforcement Learning, Slides, Paper 1 / Ref, Paper 2 / Ref
November 15		John Lafferty, Additive Models, Boosting and Inference for Generalized Divergences, Paper / Ref
November 1		Marina Meila-Predoviciu, Maximum Entropy Discrimination, Gray Slides, color slides, ppt slides, Paper / Ref
October 18		ICML / COLT Review, Description, Overview Slides, John's Slide, Geoff's Slides, Chuck's Slides
October 15		No regular talk scheduled. Check out Leonard Schulman's (Georgia Tech) talk at 3:30pm in WeH 7220 entitled Clustering in Large Data Sets
October 12		No regular talk scheduled. Check out Andrew Moore's talk at 3:30pm in WeH 5409 entitled Inner-Loop Statistics in Automated Scientific Discovery
October 12		No regular talk scheduled. Check out Ronald Parr's (Stanford) talk at 11am in DH 3313 entitled Density Estimation and Markov Decision Processes, Slides, ppt slides
October 4		Will Uther, What I Did On My Holidays, Slides, ppt slides
September 27		Geoff Gordon, Regret Bounds for Prediction Problems, Slides, Paper / Ref
September 20		Jeff Schneider, Distributed Value Functions, Slides, Paper / Ref Joint work with Weng-Keen Wong and Andrew Moore.
September 13		Belinda Thom, Learning Models for Interactive Melodic Improvisation
August 30		John Langford, How to Solve Cribbage, Slides
May 11		Joseph O'Sullivan, Curriculum-Based Learning with STiNT, Slides
April 20		Satinder Singh (AT&T), Explore or Exploit? Build a Model or not?: Results from a Chernoff-bounds based analysis of Reinforcement Learning Algorithms Note that this session will be held from 1-2 pm in Wean 4625.
April 20		Thesis Defense Geoff Gordon, Approximate Solutions to Markov Decision Processes Geoff's thesis defense will take place at 10 am in Wean 4623.
April 13		No regular talk scheduled. Check out the AI Seminar at 3:30 pm in Wean 5409 by Usama Fayyad (Microsoft) entitled Data Mining and Databases: Recent Developments
April 13		Lunch sponsored by CALD for students. Please RSVP to Diane Stidle by 4/9/99 if you plan to attend. Meeting notes.
April 6		No regular talk scheduled. Check out the AI Seminar at 3:30 pm in Wean 5409 by Yoram Singer (AT&T) entitled Boosting Algorithms for Text and Speech Categorization
March 30		David Cohn, Tutorial on Active Learning, Color Slides, Black and White Slides, PPT Slides
March 16		Tucker Balch, The Impact of Reward Function on Diversity in Learning Foraging Robot Teams
March 9		Andrew McCallum, The Creation of Cora - www.cora.whizbang.com
March 2		Rich Caruana and Joseph O'Sullivan, Unabridged Learning
February 9		Sebastian Thrun, Monte Carlo Hidden Markov Models
February 2		Andrew Moore, MRKD-trees for very fast clustering: why we want them, how we use them, and what next?
January 19		Ute Schmid, Inductive Program Synthesis: Back to the Roots
January 12		Will Uther, Automated Acquisition of Hierarchical Decomposition Graphs for RL This is Will's thesis proposal. - It's in Wean 5409 at 3:30 pm.
January 5		Will Uther, Automated Acquisition of Hierarchical Decomposition Graphs for RL