Publications

Refereed Conference and Journal Publications

• Incentive Decision Processes [pdf]
  S.Reddi and E.Brunskill
  Conference on Uncertainty in Artificial Intelligence (UAI) 2012
• The Impact on Individualizing Student Models on Necessary Practice Opportunities
  *Nominated for best paper [pdf]
  J.I.Lee and E.Brunskill
  International Conference on Educational Data Mining (EDM) 2012
• Policy Building -- An Extension To User Modeling [pdf]
  M.Yudelson and E.Brunskill
  International Conference on Educational Data Mining (EDM) 2012
• Global and regional hearing impairment prevalence: an analysis of 42 studies in 29 countries [link]
  G.Stevens, S.Flaxman, E.Brunskill, M. Mascarenhas, C.Mathers, M.Finucane
  The European Journal of Public Health
• Estimating prerequisite structure from noisy data [pdf]
  E.Brunskill
  International Conference on Educational Data Mining (EDM) 2011
• Partially observable sequential decision making for problem selection in an intelligent tutoring system [pdf]
  E.Brunskill and S.Russell
  poster in International Conference on Educational Data Mining (EDM) 2011
• Faster teaching by POMDP planning
  A.Rafferty, E.Brunskill, T.Griffiths, and P.Shafto
  International Conference on Artificial Intelligence in Education (AIED) 2011
• Designing mobile interfaces for novice and low-literacy users [pdf]
  I. Medhi, S. Patnaik, E.Brunskill, S. N. Nagasena Gautama, W. Thies, and K. Toyama
  ACM Transactions on Computer-Human Interaction 2011
• Efficient planning under uncertainty with macro-actions [pdf]
  R.He, E. Brunskill and N. Roy
  Journal of Artificial Intelligence Research 2011
• Evaluating an adaptive multi-user educational tool for low-resource regions [pdf]
  E.Brunskill, S.Garg, C.Tseng, J.Pal and L.Findlater
  International Conference on Information and Communication Technologies and Development (ICTD) 2010
• RAPID: A reachable anytime planner for imprecisely-sensed domains [pdf]
  E.Brunskill and S.Russell
  Uncertainty in Artificial Intelligence (UAI) 2010
• PUMA: planning under uncertainty with macro-actions [pdf]
  R.He, E.Brunskill and N.Roy
  AAAI Conference on Artificial Intelligence (AAAI) 2010
• Planning in partially-observable switching-mode continuous domains [pdf]
  E.Brunskill, L.Kaelbling, T.Lozano-Perez, and N.Roy
  Annals of Mathematics and Artificial Intelligence 2010
• When policies can be trusted: analyzing a criteria to identify optimal policies in MDPs with unknown model parameters [pdf]
  (This corrected version makes a 2 sentence clarification that only the final DeltaQ represents an estimate of g)
  E.Brunskill
  International Conference on Automated Planning and Scheduling (ICAPS) 2010
• Provably efficient learning with typed parametric models [pdf]
  E.Brunskill, B. Leffler, L. Li, M. Littman, and N. Roy.
  Journal of Machine Learning Research 2009
• Evaluating the accuracy of data collection on mobile phones: a study of forms, SMS, and voice [pdf]
  S.Patnaik, E.Brunskill, and W.Thies.
  International Conference on Information and Communication Technologies and Development (ICTD) 2009
• Where to go: interpreting natural directions using global inference [pdf]
  Y.Wei, E.Brunskill, T.Kollar and N.Roy.
  International Conference on Robotics and Automation (ICRA) 2009
• CORL: a continuous-state offset-dynamics reinforcement learner [pdf]
  E.Brunskill, B.Leffler, L.Li, M.Littman and N.Roy.
  Uncertainty in Artificial Intelligence (UAI) 2008
  
• Perceptual switch rates with ambiguous structure-from-motion figures in bipolar disorder [pdf].
  K.Krug, E.Brunskill, A.Scarna, G.Goodwin and A.Parker.
  Proceedings of the Royal Society B 2008.
• A supervised learning approach for collision detection in legged locomotion. [pdf]
  F.Doshi, E.Brunskill, A.Shkolnik, T.Kollar, K.Rohanimanesh, R.Tedrake, and N.Roy
  International Conference on Intelligent Robots and Systems (IROS) 2007
• Topological mapping using spectral clustering and classification [pdf]
  E.Brunskill, T.Kollar and N.Roy
  International Conference on Intelligent Robots and Systems (IROS) 2007
• Adaptive state space construction with reinforcement learning for robots.
  E.Brunskill, E.Uchibe, and K.Doya
  poster International Conference on Robotics and Automation (ICRA) 2006
• SLAM using incremental probabilistic PCA and dimensionality reduction. [pdf]
  E.Brunskill and N.Roy.
  International Conference on Robotics and Automation (ICRA) 2005

Workshop and Symposium Papers

• Routing for rural health: optimizing community health worker visit schedules [pdf]
  E.Brunskill and N.Lesh
  position paper AAAI Spring Symposium on Artificial Intelligence for Development 2010
• Learning to identify locally actionable health anomalies [pdf]
  K.Chen, E.Brunskill, J.Dick and P.Dhadialla
  position paper AAAI Spring Symposium on Artificial Intelligence for Development 2010
• How close is close enough? Finding optimal policies in PAC-style reinforcement learning.
  E. Brunskill
  Abstract NIPS 2008 Workshop on Model Uncertainty and Risk in Reinforcement Learning
• Continuous-state POMDPs with hybrid dynamics. [pdf]
  E.Brunskill, L.Kaelbling, T.Lozano-Perez, and N.Roy.
  Proceedings of the International Symposium on Artificial Intelligence and Mathematics (ISAIM) 2008
• Continuous state POMDPs for object manipulation tasks.
  E.Brunskill
  Association for the Advancement of Artificial Intelligence (AAAI) 2007 Doctoral Consortium
• Lessons from prototyping a microfinance distance learning tool. [pdf]
  E.Brunskill and T.Parikh
  CHI workshop on User Centered Design for International Development 2007
• Building peer-to-peer systems with Chord, a distributed lookup service.
  F.Dabek, E.Brunskill, F.Kaashoek, D.Karger, R.Morris, I.Stoica, and H.Balakrishnan.
  in Proceedings of the 8th Workshop on Hot Topics in Operating Systems (HotOS-VIII) 2001

Ph.D. Thesis

• Compact Parametric Models for Efficient Sequential Decision Making in High-dimensional, Uncertain Domains MIT June 2009

Other Publications

• LittleDog learning locomotion project
  CSAIL research abstract 2006
• Impact of Bipolar Disorder on Ambiguous Structure-from-Motion Percepts
  E.Brunskill, et al.
  Society for Neuroscience Abstract (SFN) 2003