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Decision-Making under Uncertainty

Decision-Making under Uncertainty. http://www.cs.berkeley.edu/projects/muri. University of California, Berkeley Venkat Anantharam Laurent El Ghaoui Michael I. Jordan Stuart Russell S. Shankar Sastry University of California, Davis Roger Wets Stanford University Daphne Koller

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Decision-Making under Uncertainty

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  1. Decision-Making under Uncertainty http://www.cs.berkeley.edu/projects/muri University of California, Berkeley Venkat Anantharam Laurent El Ghaoui Michael I. Jordan Stuart Russell S. Shankar Sastry University of California, Davis Roger Wets Stanford University Daphne Koller Ben van Roy Claire Tomlin MURI Review Meeting

  2. FacultyInvestigators • Venkat Anantharam – information theory, stochastic control • Laurent El Ghaoui – convex optimization, control theory • Michael Jordan – graphical models, statistics • Daphne Koller – decision theory, game theory, AI • Stuart Russell –reinforcement learning, decision theory, AI • Shankar Sastry – hybrid control, systems theory • Claire Tomlin – hybrid control, systems theory • Ben van Roy – reinforcement learning, dynamic programming • Roger Wets – variational analysis, stochastic optimization MURI Review Meeting

  3. Postdoctoral Researchers • Sekhar Tatikonda – information theory, distributed control • Yair Weiss – probabilistic inference MURI Review Meeting

  4. Research Concentration Areas • (RCA 1) Exploration of basic methods, such as probability and decision theory, Bayesian and related methods, and utility theory • (RCA 2) Bound the effects of missing or incorrect information • (RCA 3) Incorporate Quality of Service issues, such as trading off time for certainty • (RCA 4) Dealing with varying bandwidth and connectivity in the networked battlefield • (RCA 5) Fusing uncertain information of different kinds • (RCA 6) Ways of structuring problems for optimal understanding • (RCA 7) Present possible and alternative courses of action to the user, quantitatively ranked according to the system’s beliefs MURI Review Meeting

  5. Investigator to RCA Map • Venkat Anantharam – RCA1, RCA4 • Laurent El Ghaoui – RCA1, RCA2, RCA3 • Michael Jordan – RCA1, RCA2, RCA5, RCA7 • Daphne Koller – RCA1, RCA2, RCA3, RCA5, RCA6, RCA7 • Stuart Russell – RCA1, RCA3, RCA5, RCA6, RCA7 • Shankar Sastry – RCA1, RCA2, RCA6 • Claire Tomlin – RCA1, RCA2, RCA6 • Ben van Roy – RCA1, RCA2, RCA3 • Roger Wets – RCA1, RCA2 • Sekhar Tatikonda – RCA1, RCA4 • Yair Weiss – RCA1, RCA2, RCA3 MURI Review Meeting

  6. Research Spectrum Physical environment Information environment Algorithms and Interfaces Human decision maker MURI Review Meeting

  7. Industrial Contacts • Intel (Gary Bradski) • Google (Peter Norvig) • Microsoft Research (David Heckerman, Eric Horvitz, Jack Breese) • AT&T Labs Research (Michael Kearns, Yann LeCun, Satinder Singh) • Affymetrix (David Kulp, Cyrus Harmon) • Alphatech (John Fox) • IBM Watson Research Center (Shivakumar Vaithyanathan) • Honeywell Labs (Datta Godbole, Mary Jo Hoffman, Jorge Tierno) MURI Review Meeting

  8. DoD/Government Contacts • SPAWAR, San Diego, CA • Third Fleet Command Ship, USS Coronado • Army Research Laboratories • SPAWAR, Norfolk, VA • Fort Leavenworth (TRADOC) • AFRL (Siva Banda) • AFOSR (Marc Jacobs) • NASA (George Meyer) • NASA (Asaf Degani) • Darpa ITO (John Bay) • Darpa DSO (Eric Eisenstadt) MURI Review Meeting

  9. Educational Activities Courses specifically designed for relevance to MURI • Advanced Topics in Learning and Decision-Making---Berkeley • Statistical Learning Theory---Berkeley • Introduction to Convex Optimization---Berkeley • Optimization Seminar---Berkeley • Neuro-Dynamic Programming and Reinforcement Learning---Stanford • Stochastic Decision Models---Stanford • Analysis and Control of Nonlinear Systems---Stanford • Stochastic Programming---Davis MURI Review Meeting

  10. Meetings • Biweekly research meetings at Berkeley • Full-day workshop---September 20, 2000 (Berkeley) • Full-day workshop---March 28, 2001 (Stanford) MURI Review Meeting

  11. Agenda • 9:00 – 9:15 Michael Jordan (overview) • 9:15 – 9:55 Shankar Sastry – Pursuit-evasion games, map building, embedded software • 9:55 – 10:35 Daphne Koller – Markov decision problems with factored value functions, multi-agent Markov decision problems • 10:35 – 11:15 Stuart Russell – Programmable reinforcement learning systems • 11:15 – 1:00Lunch • 1:00 – 1:40 Claire Tomlin – Distributed control of multiple vehicle systems • 1:40 – 2:20 Michael Jordan – Feature selection, edge selection and variable selection • 2:20 – 3:10 Yair Weiss – Approximate inference via approximations of free energy • 3:10 – 3:30 Break • 3:30 – 4:10 Laurent El Ghaoui – Estimation and optimization: Gaps and bridges • 4:10 – 4:30 Sekhar Tatikonda – Network information theory • 4:30 – 5:00 Open discussion MURI Review Meeting

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