PIs

Leslie Pack Kaelbling

Tomas Lozano-Perez

Post-doctoral researchers

• George Konidaris
• Frans Oliehoek

Ph.D. Students

• Jenny Barry
• Sam Davies
• Ashwin Deshpande
• Jared Glover
• Owen MacIndoe
• Lawson L.S. Wong

Masters students

• Huan Liu

Visiting Students

• Alejandro Perez

Undergraduate students

• Hemagiri Arumugam
• Lauren Burke
• Aaron Fryman
• Tommy Garver
• Gustavo Goretkin
• Will Grathwohl
• Dylan Hadfield-Menell
• Annie Holladay
• Ulziibayar Otgonbaatar
• Emily Pittore
• Dawit Zewdie

Group alumni

• Dan Roy Daniel Roy
• Selim Temizer
• Meg Aycinena
• Luke Zettlemoyer
• Sarah Finney
• Natalia Hernandez Gardiol
• Ben Hong
• Kaijen Hsiao
• Nick Matsakis
• James McLurkin
• Han-Pang "Bon Bon" Chiu
• Kristian Kersting
• Bhaskara Marthi
• Brian Milch
• Zvika Marx
• Michael Rosenstein
• Luis Ortiz
• Hanna Pasula
• Yu-Han Chang
• Michael Ross
• Kurt Steinkraus
• Mike Benjamin
• Terran Lane
• Kevin Murphy
• Leonid Peshkin
• Tim Oates
• Bruno Scherrer
• Sarah Beth Shiplett
• Jiwon Kim
• Jongu Shin

Related things

• Group Wiki (restricted access)
• STatistical AI Reading Group (STAIR)

Group research abstracts

2007

• Efficient Object Localization Using Probabilistic Geometric Grammars
  Meg Aycinena, Leslie Pack Kaelbling & Tomas Lozano-Perez


• Virtual Training for Multi-View Object Class Recognition
  Han-Pang Chiu, Tomas Lozano-Perez & Leslie Pack Kaelbling


• Generalized Hough Transforms For View-Independent Object Localization
  Samuel I. Davies, Leslie Pack Kaelbling & Tomas Lozano-Perez


• Learning Probabilistic Relational Dynamics for Multiple Tasks
  Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer & Leslie Pack Kaelbling


• Predicting Partial Paths from Planning Problem Parameters
  Sarah Finney, Tomas Lozano-Perez & Leslie Pack Kaelbling


• Computing Equivalence Classes for Planning
  Natalia H. Gardiol & Leslie Pack Kaelbling


• Grasping POMDPs
  Kaijen Hsiao, Leslie Pack Kaelbling & Tomas Lozano-Perez


• Example-based Grasp Learning
  Jiwon Kim, Kaijen Hsiao & Tomas Lozano-Perez


• Inference and Learning in Bayesian Logic (BLOG)
  Brian Milch & Leslie Pack Kaelbling


• Efficient Bayesian Task-Level Transfer Learning
  Daniel M. Roy & Leslie Pack Kaelbling

2006

• Computing Equivalence Classes for Planning Natalia H. Gardiol & Leslie Pack Kaelbling
  


• Transfer Learning with an Ensemble of Background Tasks
  Zvika Marx, Michael T. Rosenstein, Leslie Pack Kaelbling & Thomas G. Dietterich
  


• To Transfer or Not To Transfer
  Michael T. Rosenstein, Zvika Marx, Leslie Pack Kaelbling & Thomas G. Dietterich
  


• LabelMe: A Database and Web-based Tool for Image Annotation
  Bryan C. Russell, Antonio Torralba, Samuel Davies, Kevin P. Murphy & William T. Freeman
  

2005

• Probabilistic Geometric Grammars for Object Recognition
  Meg Aycinena, Leslie Pack Kaelbling & Tomas Lozano-Perez
  


• Multi-Agent Learning: From Game Theory to Ad-hoc Networks
  Yu-Han Chang & Leslie Pack Kaelbling
  


• Matching Interest Points Using Affine Invariant Concentric Circles
  Han-Pang Chiu & Tomas Lozano-Perez
  


• Learning Subtask Goal to Improve Motion Planning
  Sarah Finney, Tomas Lozano-Perez & Leslie Pack Kaelbling
  


• Imitation Learning of Whole-Body Grasps
  Kaijen Hsiao & Tomas Lozano-Perez
  


• Learning Static Object Segmentation From Motion Segmentation
  Michael G. Ross & Leslie Pack Kaelbling