Computer Science Machine

Stuart Russell, Curriculum Vitae

Professor of Computer Science and Michael H. Smith and Lotfi A. Zadeh Chair in

Engineering,

Computer Science Division

University of California

Berkeley, CA 94720

Adjunct Professor of Neurological Surgery, University of California, San Francisco

Tel. 510-***-****

Fax 510-***-****

Email *******@**.********.***

Home page http://www.cs.berkeley.edu/~russell

Education

B.A. (Hons.) 1st Class, Physics, Wadham College, University of Oxford, 1979--82.

Ph.D., Computer Science, Stanford University, 1982--86.

Employment history

2008--present, Adjunct Professor, Department of Neurological Surgery, University of

California, San Francisco

2008--2010, Chair, Department of Electrical Engineering and Computer Sciences, University

of California,

Berkeley

2006--2010, Chair, Computer Science Division, University of California,

Berkeley

1996--present, Professor, Computer Science Division, University of California, Berkeley

1991--96, Associate Professor, Computer Science Division, University of California,

Berkeley

1986--91, Assistant Professor, Computer Science Division, University of California,

Berkeley

1986, Summer employee, MCC, Austin, Texas, Machine learning research in the Large Scale

KB Project (CYC)

1985--86, Research Assistant, Computer Science Dept., Stanford University

1983,

Teaching Assistant, Computer Science Dept., Stanford University

1981,

Programmer, graphics research project, IBM Los Angeles Scientific Center

1978--80 (1 year total), Programmer, IBM Systems Engineering Centre, Warwick, UK

Honours, Awards

1st Scholar, St. Paul's School, London, 1974--78.

Distinction, UK National Mathematical Competition, 1977.

Wadham College Major Scholar 1979--82.

NATO Scholar, 1982--85.

NSF Presidential Young Investigator, 1990--95.

UK SERC Visiting Professorship, 1992.

Computers and Thought Award, 1995 (awarded biennially by the International Joint

Committee on Artificial Intelligence for the most significant contributions to artificial

intelligence).

Class of 1960s Visiting Scholar, Williams College, 1995.

Miller Professorship, UC Berkeley, 1996.

Fellow of the American Association for Artificial Intelligence, 1997.

Forsythe Lecturer, Stanford University, 1998.

Selected as one of 15 ``Bay Area Visionaries for the New Millenium,'' SF Magazine, Jan

2000.

Jon Postel Distinguished Lecturer, UCLA, 2000.

Chancellor's Professorship, UC Berkeley, 2000.

Michael H. Smith and Lotfi A. Zadeh Chair in Engineering, UC Berkeley, 2001.

Fellow of the Association for Computing Machinery, 2003.

Triangle Distinguished Lecturer (Duke University, University of North Carolina, North

Carolina State University), 2004.

Distinguished Lecturer, University of Illinois at Urbana-Champaign, 2004.

Distinguished Lecturer, University of Illinois at Chicago, 2004.

Distinguished Lecturer, University of Michigan, 2005.

Distinguished Lecturer, University of Toronto, 2005.

ACM Karl V. Karlstrom Outstanding Educator Award, 2005.

Distinguished Lecturer, University of California, Irvine, 2006.

Distinguished Lecturer, University of Southern California, 2011.

Fellow, American Association for the Advancement of Science, 2011

Paper Prizes

Best Paper Nomination, European Conference on AI, 1992, for ``Efficient Memory-Bounded

Search.''

Best Industry-Related Paper Award (Honorable Mention), International Conference on

Pattern Recognition, 1994, for ``Towards Robust Automatic Traffic Scene Analysis in Real-

Time.''

Distinguished Paper Prize, International Joint Conference on Artificial Intelligence,

1997, for ``Object Identification in a Bayesian Context.''

Best Paper Prize (Honorable Mention), International Conference on Machine Learning, 1999,

for ``Policy Invariance under Reward Transformations.''

Paper selected for journal special issue, International Conference on Speech and Language

Processing, 1999, for ``Probabilistic modeling with Bayesian networks for automatic speech

recognition.''

Paper selected for journal special issue, International Joint Conference on Artificial

Intelligence, 2001, for ``Approximate inference for first-order probabilistic languages.''

Paper selected for journal special issue, International Conference on Automated Planning

and Scheduling, 2008, for ``Angelic Hierarchical Planning: Optimal and Online

Algorithms.''

Professional and Service

Executive Council Member, American Association for Artificial Intelligence, 1997-2000

Founding board member and Secretary, International Machine Learning Society, 2001-2007

Secretary, JMLR Foundation

Editor, Prentice Hall Series in Artificial Intelligence

Research Highlights Editor, Communications of the ACM

Associate Editor (Artificial Intelligence), Journal of the ACM

Associate Editor and Advisory Board member, Journal of Artificial Intelligence Research

Associate Editor, Journal of Machine Learning Research

Editorial Board, Machine Learning Journal (until 2000)

Associate Editor, Artificial Intelligence

Editorial Board, AI Communications

Advisory Board, Springer-Verlag Series in Cognitive Technology

Board member and US-UK Secretary, Machine Intelligence Series

Advisory Editor for AI and Computer Science, MIT Press Encyclopaedia of the Cognitive

Sciences

Chair, DARPA Workshop on Human-Level AI, 2004

Co-Chair, AAAI Fall Symposium on Learning Complex Behaviours, 1996

Co-Chair, Workshop on Learning in Bayesian Networks, NIPS 95

Program and Conference Co-Chair, Int'l Conference on Machine Learning, 1995

Program and Symposium Chair, AAAI Symposium on AI and Limited Rationality, Stanford, 1989

Program Area Chair, AI and Cognitive Science areas, NIPS 96

Program Area Chair (Decision Theory, Machine Learning, Search), AAAI 94

Program Area Chair (Machine Learning), AAAI 90

Organizing and Program Committee, AAAI Spring Symposium on Decision-Theoretic Planning,

1994

Organizing and Program Committee, AAAI Fall Symposium on Planning and Learning in Games,

1993

Organizing and Program Committee, IEEE Workshop on Imprecise and Approximate Computation,

1992

Organizing and Program Committee, Workshop on Theoretical and Practical Design of

Rational Agents, IJCAI 91

Member, Program Committee, AAAI 88, AAAI 90, AAAI 92, International Conference on Machine

Learning 1992, 1993, 1994, 1996, Third International Conference on Multistrategy Learning,

1993, Int'l Conference on Knowledge Representation and Reasoning, 1994, 1998, 2002, ACM

Reviewer, International Joint Conference on Artificial Intelligence (1987, 1989, 1991,

1993, 1995), Conference on Uncertainty in AI (1991, 1992), International Conference on

Automata, Languages, and Programming (1987), Symposium on Parallel and Distributed

Programming (1993), Fifth Generation Computer Systems (1992).

Book Reviewer, MIT Press, Pitman Press, Addison-Wesley, Morgan Kaufmann, Cambridge

University Press

Organizing Committee, Newsletter Editor, and Spokesperson, British Scientists Abroad,

1990--92

Chairman, British Scientists Abroad, 1993--96

University Service

Computer Science Division

Chair (2006--10)

Chair, Faculty Search Committee (2000)

Faculty Search Committee (1994, 1995, 1997, 1999, 2001, 2002, 2003, 2004)

Chair, Competitions Committee(1990--92)

Reentry Program Committee(1986--90)

Undergraduate Study Committee (1991)

Graduate Admissions Committee (2002)

Scheduling Officer (1993--97)

EECS Department

Chair (2008--10) Associate Chair (2006--8)

Executive Committee (2001--2, 2005--6)

Co-Chair, Faculty Retreat Committee (1998--99, 2003-04)

Co-Chair, Scheduling Committee (1993--97)

Undergraduate Advisor

Minority Graduate Student Mentor

Student Awards Committee

Faculty Search Committee (non-conventional computing)

Graduate Study Committee

Curriculum Revision Committee

Other departments

IEOR Dept Faculty Search Committee (1995)

Bioengineering Dept Faculty Search Committee (2000)

University

Committee on Undergraduate Scholarships and Honours (1996--2008)

Chair, Committee on Undergraduate Scholarships and Honours (2000--2006)

Chair, Truman Subcommittee, Committee on Undergraduate Scholarships and Honours (1999--

2000)

Member, Coordination Board for Undergraduate Admissions, Financial Aid, and Enrollment

Management (2002--2006)

UC Systemwide

Stuart Russell

The Use of Knowledge in Analogy and Induction. London

Stuart Russell and Peter Norvig, Intelligence artificielle, 2e ed.. (French translation

of Artificial Intelligence: A Modern Approach, second edition.) Paris: Pearson Education

France, 2006.

Stuart Russell and Peter Norvig, (Japanese translation of Artificial Intelligence: A

Modern Approach, second edition.) Koichi Furukawa, translator. Tokyo: Kyoritsu Shuppan,

2008.

Stuart Russell and Peter Norvig, ``Artificial Intelligence: A Modern Approach.'' 3rd

Edition, Prentice Hall, 2010.

Stuart Russell and Peter Norvig, Intelligence artificielle, 3e ed.. (French translation

of Artificial Intelligence: A Modern Approach, third edition.) Paris: Pearson Education

France, 2010.

Stuart Russell and Peter Norvig, Intelligenza Artificiale 3/Ed. Vol. 1 - Un Approcio

Moderno. (Vol. 1 of Italian translation of Artificial Intelligence: A Modern Approach,

third edition.) Rome: Pearson Italia, 2010.

Journal papers

Stuart Russell ``Rationality as an Explanation of Language?'' (commentary). Behavioral

and Brain Sciences 10, 1987.

Stuart Russell and Eric Wefald ``Principles of Metareasoning.'' Artificial Intelligence

49, 1991 (invited paper).

Stuart Russell ``An Architecture for Bounded Rationality.'' SIGART Bulletin 2(4), 1991.

Stuart Russell ``Prior Knowledge and Autonomous Learning.'' Journal of Robotics and

Autonomous Systems 8, 1991.

Stuart Russell ``Inductive Learning by Machines.'' Philosophical Studies 64(1), 1991.

Stuart Russell and Devika Subramanian ``Provably bounded-optimal agents.'' Journal of

Artificial Intelligence Research, 2, 1995 (invited paper).

Shlomo Zilberstein and Stuart Russell ``Optimal composition of real-time systems.''

Artificial Intelligence, 82, 181--213, 1996.

Stuart Russell, ``Rationality and Intelligence.'' Artificial Intelligence, 94, 57--77,

1997 (invited paper).

John Binder, Daphne Koller, Stuart Russell, Keiji Kanazawa, ``Adaptive Probabilistic

Networks with Hidden variables.'' Machine Learning, 29, 213--244, 1997 (invited paper).

Stuart Russell, Lewis Stiller, and Othar Hansson, ``PNPACK: Computing with Probabilities

in Java.'' Concurrency: Practice and Experience, 9, 1333--1339, 1997.

Prasad Tadepalli and Stuart Russell, ``Learning from Examples and Membership Queries with

Structured Determinations.'' Machine Learning, 32, 245--95, 1998.

Tim Huang and Stuart Russell, ``Object Identification: A Bayesian Analysis with

Application to Traffic Surveillance.'' Artificial Intelligence, 103, 1-17, 1998 (invited

paper).

Geoffrey Zweig and Stuart Russell, ``Probabilistic modeling with Bayesian networks for

automatic speech recognition.'' Australian Journal of Intelligent Information Processing

Systems, 5(4), 253-60, 1999 (invited paper).

Songhwai Oh, Stuart Russell, and S. Shankar Sastry, ``Markov Chain Monte Carlo Data

Association for Multi-Target Tracking.'' IEEE Transactions on Automatic Control, 54(3),

481-497, 2009.

Refereed conference papers in published proceedings

Stuart Russell ``A Quantitative Analysis of Analogy by Similarity.'' In Proceedings of

the Fifth National Conference on Artificial Intelligence, Philadelphia, PA: Morgan

Kaufmann, 1986.

Stuart Russell ``Preliminary Steps Toward the Automation of Induction.'' In Proceedings

of the Fifth National Conference on Artificial Intelligence, Philadelphia, PA: Morgan

Kaufmann, 1986.

Stuart Russell ``Analogy and Single-Instance Generalization.'' In Proceedings of the

Fourth International Machine Learning Workshop, Irvine, CA: Morgan Kaufmann, 1987.

Todd R. Davies and Stuart Russell ``A Logical Approach to Reasoning by Analogy.'' In

Proceedings of the Tenth International Joint Conference on Artificial Intelligence, Milan,

Italy: Morgan Kaufmann, 1987.

Stuart Russell and Benjamin Grosof ``A Declarative Approach to Bias in Concept

Learning.'' In Proceedings of the Sixth National Conference on Artificial Intelligence,

Seattle, WA: Morgan Kaufmann, 1987.

Michael Braverman and Stuart Russell ``Boundaries of Operationality.'' In Proceedings of

the Fifth International Conference on Machine Learning, Ann Arbor, MI: Morgan Kaufmann,

1989.

Michael Braverman and Stuart Russell ``IMEX: Overcoming Intractability in Explanation-

Based Learning.'' In Proceedings of the Seventh National Conference on Artificial

Intelligence, Minneapolis, MN: Morgan Kaufmann, 1988.

Stuart Russell ``Tree-Structured Bias.'' In Proceedings of the Seventh National

Conference on Artificial Intelligence, Minneapolis, MN: Morgan Kaufmann, 1988.

Alice Agogino, Ramanathan Guha and Stuart Russell ``Sensor Fusion using Influence

Diagrams and Reasoning by Analogy: Application to Milling Machine Monitoring and

Control.'' In Proceedings of the Third International Conference on Applications of

Artificial Intelligence in Engineering, Stanford, CA: Computational Mechanics Institute,

1988.

Stuart Russell and Eric Wefald ``Principles of Meta-Reasoning.'' In Proceedings of the

First International Conference on Principles of Knowledge Representation and Reasoning,

Toronto, Ontario: Morgan Kaufmann, 1989.

Stuart J. Russell ``Execution architectures and compilation.'' In Proceedings of the

Eleventh International Joint Conference on Artificial Intelligence, Detroit, MI: Morgan

Kaufmann, 1989.

Stuart Russell and Eric Wefald ``On optimal game-tree search using rational

metareasoning.'' In Proceedings of the Eleventh International Joint Conference on

Artificial Intelligence, Detroit, MI: Morgan Kaufmann, 1989.

Eric Wefald and Stuart Russell ``Adaptive Learning of Decision-Theoretic Search Control

Knowledge.'' In Proceedings of the Sixth International Workshop on Machine Learning,

Ithaca, NY: Morgan Kaufmann, 1989.

Benjamin Grosof and Stuart Russell ``Declarative Bias for Structural Domains.'' In

Proceedings of the Sixth International Workshop on Machine Learning, Ithaca, NY: Morgan

Kaufmann, 1989.

Sampath Srinivas, Stuart Russell, and Alice Agogino, ``Automated construction of sparse

Bayesian networks from unstructured probabilistic models and domain information.'' In

Proceedings of the Fifth Workshop on Uncertainty in Artificial Intelligence, Windsor,

Ontario, 1989.

Stuart Russell ``Fine-grained decision-theoretic search control.'' In Proceedings of the

Sixth Conference on Uncertainty in Artificial Intelligence, Cambridge, MA: Morgan

Kaufmann, 1990.

Stuart Russell and Shlomo Zilberstein ``Composing Real-Time Systems.'' In Proceedings of

Distinguished Paper Prize, in Proceedings of the Fifteenth International Joint Conference

on Artificial Intelligence, Nagoya, Japan, 1997.

John Binder, Kevin Murphy, Stuart Russell, ``Space-Efficient Inference in Dynamic

Probabilistic Networks.'' In Proceedings of the Fifteenth International Joint Conference

on Artificial Intelligence, Nagoya, Japan, 1997.

Nir Friedman, Moises Goldszmidt, David Heckerman, Stuart Russell, ``Where is the Impact

of Bayesian Networks in Learning?'' In Proceedings of the Fifteenth International Joint

Conference on Artificial Intelligence, Nagoya, Japan, 1997.

Nir Friedman and Stuart Russell, ``Image Segmentation in Video Sequences.'' In

Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence,

Providence, Rhode Island: Morgan Kaufmann, 1997.

Ron Parr and Stuart Russell, ``Reinforcement Learning with Hierarchies of Machines.'' In

Advances in Neural Information Processing Systems 10, MIT Press, 1998.

Nir Friedman, Kevin Murphy, and Stuart Russell, ``Learning the Structure of Dynamic

Probabilistic Networks.'' In Proceedings of the Conference on Automated Learning and

Discovery, Pittsburgh, June 1998.

Geoff Zweig and Stuart Russell, ``Speech Recognition with Dynamic Bayesian Networks.'' In

Proceedings of the Fifteenth National Conference on Artificial Intelligence, Madison,

Wisconsin: AAAI Press, 1998.

R. Dearden, N. Friedman, and S. Russell, ``Bayesian Q-Learning.'' In Proceedings of the

Fifteenth National Conference on Artificial Intelligence, Madison, Wisconsin: AAAI Press,

1998.

N. Friedman, K. Murphy, and S. Russell, ``Learning the Structure of Dynamic Probabilistic

Networks.'' In Proceedings of the Fourteenth Conference on Uncertainty in Artificial

Intelligence, Madison, Wisconsin: Morgan Kaufmann, 1998.

S. Russell, ``Learning agents for uncertain environments (extended abstract Invited

paper, in Proceedings of the Eleventh Annual ACM Workshop on Computational Learning Theory

(COLT-98), Madison, Wisconsin: ACM Press, 1998.

G. Zweig and S. Russell, ``Probabilistic Modeling with Bayesian Networks for ASR.'' In

Proceedings of the International Conference on Spoken Language Processing, Sydney,

Australia: IEEE Press, 1998

.

Andrew Y. Ng, Daishi Harada, and Stuart Russell, ``Policy invariance under reward

transformations: Theory and application to reward shaping.'' In Proceedings of the

Sixteenth International Conference on Machine Learning, Bled, Slovenia: Morgan Kaufmann,

1999.

Vassilis Papavassiliou and Stuart Russell, ``Convergence of reinforcement learning with

general function approximators.'' In Proceedings of the Sixteenth International Joint

Conference on Artificial Intelligence, Stockholm: Morgan Kaufmann, 1999.

Hanna Pasula, Stuart Russell, Michael Ostland, and Ya'acov Ritov, ``Tracking many objects

with many sensors.'' In Proceedings of the Sixteenth International Joint Conference on

Artificial Intelligence, Stockholm: Morgan Kaufmann, 1999.

Stuart Russell, ``Expressive probability models for speech recognition and

understanding.'' In Proc. International Workshop on Automatic Speech Recognition and

Understanding (ASRU), Keystone, Colorado, 1999 (invited paper).

Stuart Russell, ``Expressive probability models in science.'' In Proceedings of the

Second International Conference on Discovery Science, Tokyo, Japan: Springer Verlag, 1999

(invited paper).

Andrew Y. Ng and Stuart Russell, ``Algorithms for inverse reinforcement learning.'' In

Proceedings of the Seventeenth International Conference on Machine Learning, Stanford,

California: Morgan Kaufmann, 2000.

Arnaud Doucet, Nando de Freitas, Kevin Murphy, and Stuart Russell, ``Rao-Blackwellised

Particle Filtering for Dynamic Bayesian Networks.'' In Proceedings of the Sixteenth

Conference on Uncertainty in Artificial Intelligence, Stanford, California: Morgan

Kaufmann, 2000.

David Andre and Stuart Russell, ``Programmable Reinforcement Learning Agents.'' In

Advances in Neural Information Processing Systems 13, MIT Press, 2001.

Nikunj Oza and Stuart Russell, ``Online Bagging and Boosting.'' In Eighth International

Workshop on Artificial Intelligence and Statistics, Key West, Florida. 2001

Nikunj Oza and Stuart Russell, ``Experimental Comparisons of Online and Batch Versions of

Bagging and Boosting.'' In Proc. KDD-01, San Francisco, 2001.

Stuart Russell, ``Identity uncertainty.'' In Proc. IFSA-01, Vancouver, 2001. (Invited

paper)

Joao de Freitas, Pedro Hoejen-Soerensen, Michael Jordan, and Stuart Russell,

``Variational MCMC.'' In Proc. UAI-01, Seattle, 2001.

Hanna Pasula and Stuart Russell, ``Approximate inference for first-order probabilistic

languages.'' In Proc. IJCAI-01, Seattle, 2001.

Bhaskara Marthi, Hanna Pasula, Stuart Russell, Yuval Peres, ``Decayed MCMC Filtering.''

In Proc. UAI-02, Edmonton, Alberta: Morgan Kaufmann, 2002.

David Andre and Stuart Russell, ``State Abstraction for Programmable Reinforcement

Learning Agents.'' In Proc. AAAI-02, Edmonton, Alberta: AAAI Press, 2002.

Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, and Stuart Russell, ``Distance Metric

Learning, with application to Clustering with side-information.'' In Advances in Neural

Information Processing Systems 15, MIT Press, 2003.

Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell, and Ilya Shpitser, ``Identity

Uncertainty and Citation Matching.'' In Advances in Neural Information Processing Systems

15, MIT Press, 2003.

Eric P.Xing, Michael I. Jordan, Richard M. Karp, and Stuart Russell, ``A Hierarchical

Bayesian Markovian Model for Motifs in Biopolymer Sequences.'' In Advances in Neural

Information Processing Systems 15, MIT Press, 2003.

Eyal Amir and Stuart Russell, ``Temporal Logical Filtering---Preliminary Results.'' In

Proc. Common Sense 2003, Stanford, CA, 2003.

Eyal Amir and Stuart Russell, ``Logical Filtering.'' In Proc. IJCAI-03, Acapulco, Mexico,

2003.

Stuart Russell and Andrew Zimdars, ``Q-Decomposition for Reinforcement Learning Agents.''

In Proc. ICML-03, Washington, DC, 2003.

Greg Lawrence, Noah Cowan, and Stuart Russell, ``Efficient Gradient Estimation for Motor

Control Learning.'' In Proc. UAI-03, Acapulco, Mexico, 2003.

Eric P. Xing, Michael I. Jordan, and Stuart Russell, ``A generalized mean field algorithm

for variational inference in exponential families.'' In Proc. UAI-03, Acapulco, Mexico,

2003.

Eric Xing, Michael Jordan, and Stuart Russell, ``Graph partition strategies for

generalized mean field inference.'' In Proc. UAI-04, Banff, Alberta, 2004.

Songhwai Oh, Stuart Russell, and Shankar Sastry, ``Markov Chain Monte Carlo Data

Association for General Multiple Target Tracking Problems.'' In Proc. 43rd IEEE Conference

on Decision and Control (CDC-04), Paradise Island, Bahamas, 2004.

Brian Milch, Bhaskara Marthi, David Sontag, Stuart Russell, Daniel L. Ong and Andrey

Kolobov, ``Approximate Inference for Infinite Contingent Bayesian Networks.'' In Proc.

Tenth International Workshop on Artificial Intelligence and Statistics, Barbados, 2005.

Brian Milch, Bhaskara Marthi, David Sontag, Stuart Russell, Daniel L. Ong and Andrey

Kolobov, ``BLOG: Probabilistic Models with Unknown Objects.'' In Proc. IJCAI-05,

Edinburgh, Scotland, 2005.

Stuart Russell and Jason Wolfe, ``Efficient belief-state AND-OR search, with application

to Kriegspiel.'' In Proc. IJCAI-05, Edinburgh, Scotland, 2005.

Bhaskara Marthi, Stuart Russell, David Latham, and Carlos Guestrin, ``Concurrent

hierarchical reinforcement learning.'' In Proc. IJCAI-05, Edinburgh, Scotland, 2005.

Brian Milch and Stuart Russell, ``General-Purpose MCMC Inference over Relational

Structures.'' In Proc. UAI-06, Cambridge, MA, 2006.

Bhaskara Marthi and Stuart Russell, ``A Compact, Hierarchical Q-Function Decomposition.''

In Proc. UAI-06, Cambridge, MA, 2006.

Refereed conference papers

Stuart Russell and Eric Wefald ``Multi-Level Decision-Theoretic Search.'' In Proceedings

of the AAAI Symposium on Computer Game-Playing, Stanford, March, 1988.

Michael Braverman and Stuart Russell ``Explanation-Based Learning in Complex Domains.''

In Proceedings of the AAAI Symposium on Explanation-Based Learning, Stanford, March, 1988.

Stuart Russell and Devika Subramanian ``Mutual Constraints on Representation and

Inference.'' In Proceedings of the International Workshop on Machine Learning, Meta-

Reasoning and Logics, Sesimbra, Portugal, 1988.

Stuart Russell and Benjamin Grosof ``A Sketch of Autonomous Learning using Declarative

Bias.'' In Proceedings of the International Workshop on Machine Learning, Meta-Reasoning

and Logics, Sesimbra, Portugal, 1988.

Benjamin Grosof and Stuart Russell ``Shift of Bias as Nonmonotonic Reasoning.'' In

Proceedings of the International Workshop on Machine Learning, Meta-Reasoning and Logics,

Sesimbra, Portugal, 1988.

Eric Wefald and Stuart Russell, ``Estimating the value of computation: The case of real-

time search.'' In Proceedings of the AAAI Symposium on AI and Limited Rationality,

Stanford, March, 1989.

Othar Hansson, Andrew Mayer, and Stuart Russell, ``Decision-theoretic planning in BPS.''

In Proceedings of the AAAI Symposium on Planning in Uncertain Environments, Stanford,

March, 1990.

Stuart Russell ``An Architecture for Bounded Rationality.'' In Proceedings of the AAAI

Symposium on Integrated Architectures for Intelligent Agents, Stanford, March, 1991.

Stuart Russell ``An Architecture for Bounded Rationality.'' In Proceedings of the IJCAI

Workshop on Theoretical and Practical Design of Rational Agents, Sydney, August, 1991.

Shlomo Zilberstein and Stuart Russell ``Reasoning about optimal allocation of time using

conditional performance profiles.'' In Proceedings of the AAAI-92 Workshop on

Implementations of Temporal Reasoning, San Jose, CA, July, 1992.

Shlomo Zilberstein and Stuart Russell ``Control of Mobile Robots Using Anytime

Computation.'' In Proceedings of the AAAI Fall Symposium on Applications of Artificial

Intelligence to Real-World Autonomous Mobile Robots, Cambridge, MA, October, 1992.

Shlomo Zilberstein and Stuart Russell ``Constructing utility-driven real-time systems

using anytime algorithms.'' Proceedings of the IEEE Workshop on Imprecise and Approximate

Computation, Phoenix, AZ, December, 1992.

Gary Ogasawara and Stuart Russell ``Decision-theoretic planning with multiple execution

architectures.'' Proceedings of the AAAI Spring Symposium on AI Planning, Stanford, CA,

March 1993.

Stuart Russell and Devika Subramanian ``Constructing bounded optimal systems.'' In

Proceedings of the AAAI Spring Symposium on AI and NP-hard problems, Stanford, CA, March

1993.

Brenda Barbour and Stuart Russell ``Experiments in Adaptive Indexing for Logic

Programming.'' In Proceedings of the ICML-93 Workshop on Knowledge Compilation and Speedup

Learning, Amherst, MA, June 1993.

Tim Huang, Gary Ogasawara, and Stuart Russell ``Symbolic Traffic Scene Analysis Using

Belief Networks.'' In Proceedings of the AAAI Workshop on AI in Intelligent Vehicle and

Highway Systems, Washington, DC, 1993.

Scott Davies and Stuart Russell, ``NP-completeness of searches for smallest possible

feature sets.'' In Proceedings of the AAAI Fall Symposium on Relevance, New Orleans, Nov.

1994.

Stuart Russell and Peter Norvig, ``A Modern, Agent-Oriented Approach to AI Instruction.''

In Proceedings of the AAAI Fall Symposium on Innovative Instruction for Introductory AI,

New Orleans, Nov. 1994.

Daishi Harada and Stuart Russell, ``Extended abstract: Learning search strategies.'' In

Proceedings of the AAAI Spring Symposium on Search Techniques for Problem Solving under

Uncertainty and Incomplete Information, Stanford, CA, 1999.

Michael Shilman, Hanna Pasula, Stuart Russell, and Richard Newton, ``Statistical Visual

Language Models for Ink Parsing.'' In Proc. AAAI Spring Symposium on Sketch Understanding,

Stanford, March 2002.

Bhaskara Marthi, Brian Milch, and Stuart Russell, ``First-Order Probabilistic Models for

Todd R. Davies and Stuart Russell A Logical Approach to Reasoning by Analogy. SRI AI

Center Technical Note 385; 1986.

Stuart Russell Analogical and Inductive Reasoning. Ph. D. Thesis, Stanford UniversityDepartment of Computer Science, December 1986. Also appeared as Stanford University

Computer Science Department Technical Report STAN-CS-87-1150.

Stuart Russell and Eric Wefald, Decision-Theoretic Search Control: General Theory and an

Application to Game-Playing, Computer Science Division Technical Report 88/435,

University

of California, Berkeley, CA, 1988.

Alice Agogino, Ramanathan Guha and Stuart Russell ``Sensor Fusion using Influence

Diagrams and Reasoning by Analogy: Application to Milling Machine Monitoring and

Control.'' Working paper 88-0304-P, Department of Mechanical Engineering, University of

California, Berkeley, CA, 1988.

Stuart Russell and Benjamin Grosof ``A Sketch of Autonomous Learning using Declarative

Bias.'' Research report no. RC 14613 (#64812), IBM Research Division, 1989.

Benjamin Grosof and Stuart Russell ``Shift of Bias as Nonmonotonic Reasoning.'' Research

report no. RC 14614 (#65293), IBM Research Division, 1989.

Benjamin Grosof and Stuart Russell ``Declarative Bias for Structural Domains.'' Research

report no. RC 14620 (#64608), IBM Research Division, 1989.

Ann Nicholson and Stuart Russell, ``Techniques for Handling Inference Complexity in

Dynamic Belief Networks.'' Technical report no. CS-93-31, Computer Science Department,

Brown University, 1993.

Stuart Russell, John Binder, and Daphne Koller, ``Adaptive probabilistic networks.''

Technical report UCB//CSD-94-824, July 24, 1994.

Jeff Forbes, Tim Huang, Keiji Kanazawa, and Stuart Russell, ``The BATmobile: Towards a

Bayesian Automated Taxi.'' In SAE Future Transportation Technology Conference, Costa Mesa,

CA, August, 1995.

Jitendra Malik, Stuart Russell. ``Traffic Surveillance and Detection Technology

Development: New Traffic Sensor Technology Final Report.'' California PATH Research Report

UCB-ITS-PRR-97-6, Institute of Transportation Studies, University of California, Berkeley.

January 1997.

Simon Kasif and Stuart Russell (Eds.), Proceedings of the AAAI Fall Symposium on Learning

Complex Behaviours, Cambridge, Massachusetts: AAAI Press.

Jeffrey Forbes, Nikunj Oza, Ronald Parr, and Stuart Russell. ``Feasibility Study of Fully

Automated Traffic Using Decision-Theoretic Control.'' California PATH Research Report UCB-

ITS-PRR-97-18, Institute of Transportation Studies, University of California, Berkeley.

April 1997.

Geoffrey Zweig and Stuart Russell. ``Compositional Modeling with DPNs.'' Technical Report

No. UCB-CSD-97-970, Computer Science Division,

University of California, Berkeley.

December 1997.

Vassilis Papavassiliou and Stuart Russell, ``Value Determination with General Function

Approximators.'' Technical Report CSD-98-1005, Computer Science Division, UC Berkeley,

1998.

David Andre and Stuart Russell, ``State Abstraction for Programmable Reinforcement

Learning Agents.'' Technical Report CSD-01-1156, Computer Science Division, UC Berkeley,

2001.

Songhwai Oh, Stuart Russell, and Shankar Sastry, ``Markov Chain Monte Carlo Data

Association for Multiple-Target Tracking,'' University of California, Berkeley, Technical

Report UCB//ERL M05/19, June 2005.

B. Marthi, S. J. Russell, and J. Wolfe, ``Angelic Semantics for High-Level Actions,''

Tech. Rep. UCB/EECS-2007-89, EECS Department, University of California, Berkeley, July

2007.

Bhaskara Marthi, Stuart Russell, and Jason Wolfe, ``Angelic Hierarchical Planning:

Optimal and Online Algorithms,'' Tech. Rep. UCB/EECS-2008-150, EECS Department, University

of California, Berkeley, Dec 2008.

Stuart Russell, Sheila Vaidya, ``Machine Learning and Data Mining for Comprehensive Test

Ban Treaty Monitoring.'' Technical Report LLNL-TR-416780, Lawrence Livermore National

Laboratory, 2009.

Stuart Russell, Nimar Arora, Michael Jordan, and Erik Sudderth, "Vertica

Contact this candidate