Stuart J. Russell

Bhaskara Marthi, Hanna Pasula, Stuart J. Russell, Yuval Peres: Decayed MCMC Filtering. CoRR abs/1301.0584 (2013)

Nando de Freitas, Pedro A. d. F. R. Højen-Sørensen, Michael I. Jordan, Stuart J. Russell: Variational MCMC. CoRR abs/1301.2266 (2013)

Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. CoRR abs/1301.3853 (2013)

Nir Friedman, Kevin P. Murphy, Stuart J. Russell: Learning the Structure of Dynamic Probabilistic Networks. CoRR abs/1301.7374 (2013)

Nir Friedman, Stuart J. Russell: Image Segmentation in Video Sequences: A Probabilistic Approach. CoRR abs/1302.1539 (2013)

Keiji Kanazawa, Daphne Koller, Stuart J. Russell: Stochastic Simulation Algorithms for Dynamic Probabilistic Networks. CoRR abs/1302.4965 (2013)

Sampath Srinivas, Stuart J. Russell, Alice M. Agogino: Automated Construction of Sparse Bayesian Networks from Unstructured Probabilistic Models and Domain Information. CoRR abs/1304.1530 (2013)

Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, Stuart J. Russell: Gibbs Sampling in Open-Universe Stochastic Languages. CoRR abs/1203.3464 (2012)

Gregory Lawrence, Stuart J. Russell: Improving Gradient Estimation by Incorporating Sensor Data. CoRR abs/1206.3272 (2012)

Eric P. Xing, Michael I. Jordan, Stuart J. Russell: Graph partition strategies for generalized mean field inference. CoRR abs/1207.4156 (2012)

Gregory Lawrence, Noah J. Cowan, Stuart J. Russell: Efficient Gradient Estimation for Motor Control Learning. CoRR abs/1212.2475 (2012)

Eric P. Xing, Michael I. Jordan, Stuart J. Russell: A Generalized Mean Field Algorithm for Variational Inference in Exponential Families. CoRR abs/1212.2512 (2012)

Nimar S. Arora, Stuart J. Russell, Paul Kidwell, Erik B. Sudderth: Global Seismic Monitoring: A Bayesian Approach. AAAI 2011

Jason Wolfe, Stuart J. Russell: Bounded Intention Planning. IJCAI 2011: 2039-2045

Stuart J. Russell, Peter Norvig: Artificial Intelligence - A Modern Approach (3. internat. ed.). Pearson Education 2010, isbn 978-0-13-207148-2, pp. I-XVIII, 1-1132

David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell, Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart J. Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan: Reports of the AAAI 2010 Conference Workshops. AI Magazine 31(4): 95-108 (2010)

Nimar S. Arora, Stuart J. Russell, Erik B. Sudderth: Automatic Inference in BLOG. Statistical Relational Artificial Intelligence 2010

Jason Wolfe, Bhaskara Marthi, Stuart J. Russell: Hierarchical Planning for Mobile Manipulation. Bridging the Gap Between Task and Motion Planning 2010

Jason Wolfe, Bhaskara Marthi, Stuart J. Russell: Combined Task and Motion Planning for Mobile Manipulation. ICAPS 2010: 254-258

Nimar S. Arora, Stuart J. Russell, Paul Kidwell, Erik B. Sudderth: Global seismic monitoring as probabilistic inference. NIPS 2010: 73-81

Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, Stuart J. Russell: Gibbs Sampling in Open-Universe Stochastic Languages. UAI 2010: 30-39

Stuart J. Russell, Lawrence K. Saul: Technical perspective - The ultimate pilot program. Commun. ACM 52(7): 96 (2009)

Songhwai Oh, Stuart J. Russell, Shankar Sastry: Markov Chain Monte Carlo Data Association for Multi-Target Tracking. IEEE Trans. Automat. Contr. 54(3): 481-497 (2009)

Bhaskara Marthi, Stuart J. Russell, Jason Wolfe: Angelic Hierarchical Planning: Optimal and Online Algorithms. ICAPS 2008: 222-231

Gregory Lawrence, Stuart J. Russell: Improving Gradient Estimation by Incorporating Sensor Data. UAI 2008: 375-382

Bhaskara Marthi, Stuart J. Russell, Jason Wolfe: Angelic Semantics for High-Level Actions. ICAPS 2007: 232-239

T. K. Satish Kumar, Stuart J. Russell: On Some Tractable Cases of Logical Filtering. ICAPS 2006: 83-92

Brian Milch, Stuart J. Russell: First-Order Probabilistic Languages: Into the Unknown. ILP 2006: 10-24

Bhaskara Marthi, Stuart J. Russell, David Andre: A Compact, Hierarchical Q-function Decomposition. UAI 2006

Brian Milch, Stuart J. Russell: General-Purpose MCMC Inference over Relational Structures. UAI 2006

Brian Milch, Bhaskara Marthi, Stuart J. Russell, David Sontag, Daniel L. Ong, Andrey Kolobov: BLOG: Probabilistic Models with Unknown Objects. Probabilistic, Logical and Relational Learning 2005

Stuart J. Russell, Jason Wolfe: Efficient belief-state AND-OR search, with application to Kriegspiel. IJCAI 2005: 278-285

Bhaskara Marthi, Stuart J. Russell, David Latham, Carlos Guestrin: Concurrent Hierarchical Reinforcement Learning. IJCAI 2005: 779-785

Brian Milch, Bhaskara Marthi, Stuart J. Russell, David Sontag, Daniel L. Ong, Andrey Kolobov: BLOG: Probabilistic Models with Unknown Objects. IJCAI 2005: 1352-1359

Stuart J. Russell, Peter Norvig: Künstliche Intelligenz - ein moderner Ansatz (2. Aufl.). Pearson Studium 2004, isbn 978-3-8273-7089-1, pp. 1-1327

Stuart J. Russell, Andrew Zimdars: Q-Decomposition for Reinforcement Learning Agents. ICML 2003: 656-663

Eyal Amir, Stuart J. Russell: Logical Filtering. IJCAI 2003: 75-82

Gregory Lawrence, Noah J. Cowan, Stuart J. Russell: Efficient Gradient Estimation for Motor Control Learning. UAI 2003: 354-361

Eric P. Xing, Michael I. Jordan, Stuart J. Russell: A generalized mean field algorithm for variational inference in exponential families. UAI 2003: 583-591

David Andre, Stuart J. Russell: State Abstraction for Programmable Reinforcement Learning Agents. AAAI/IAAI 2002: 119-125

Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, Stuart J. Russell: Distance Metric Learning with Application to Clustering with Side-Information. NIPS 2002: 505-512

Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart J. Russell, Ilya Shpitser: Identity Uncertainty and Citation Matching. NIPS 2002: 1401-1408

Eric P. Xing, Michael I. Jordan, Richard M. Karp, Stuart J. Russell: A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences. NIPS 2002: 1489-1496

Bhaskara Marthi, Hanna Pasula, Stuart J. Russell, Yuval Peres: Decayed MCMC Filtering. UAI 2002: 319-326

Hanna Pasula, Stuart J. Russell: Approximate inference for first-order probabilistic languages. IJCAI 2001: 741-748

Nikunj C. Oza, Stuart J. Russell: Experimental comparisons of online and batch versions of bagging and boosting. KDD 2001: 359-364

Nando de Freitas, Pedro A. d. F. R. Højen-Sørensen, Stuart J. Russell: Variational MCMC. UAI 2001: 120-127

Andrew Y. Ng, Stuart J. Russell: Algorithms for Inverse Reinforcement Learning. ICML 2000: 663-670

David Andre, Stuart J. Russell: Programmable Reinforcement Learning Agents. NIPS 2000: 1019-1025

Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. UAI 2000: 176-183

Stuart J. Russell: Expressive Probability Models in Science. Discovery Science 1999: 13-16

Andrew Y. Ng, Daishi Harada, Stuart J. Russell: Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping. ICML 1999: 278-287

Vassilis A. Papavassiliou, Stuart J. Russell: Convergence of Reinforcement Learning with General Function Approximators. IJCAI 1999: 748-757

Hanna Pasula, Stuart J. Russell, Michael Ostland, Yaacov Ritov: Tracking Many Objects with Many Sensors. IJCAI 1999: 1160-1171

Timothy Huang, Stuart J. Russell: Object Identification: A Bayesian Analysis with Application to Traffic Surveillance. Artif. Intell. 103(1-2): 77-93 (1998)

Prasad Tadepalli, Stuart J. Russell: Learning from Examples and Membership Queries with Structured Determinations. Machine Learning 32(3): 245-295 (1998)

Geoffrey Zweig, Stuart J. Russell: Speech Recognition with Dynamic Bayesian Networks. AAAI/IAAI 1998: 173-180

Richard Dearden, Nir Friedman, Stuart J. Russell: Bayesian Q-Learning. AAAI/IAAI 1998: 761-768

Stuart J. Russell: Learning Agents for Uncertain Environments (Extended Abstract). COLT 1998: 101-103

Geoffrey Zweig, Stuart J. Russell: Probabilistic modeling with Bayesian networks for automatic speech recognition. ICSLP 1998

Nir Friedman, Kevin P. Murphy, Stuart J. Russell: Learning the Structure of Dynamic Probabilistic Networks. UAI 1998: 139-147

Stuart J. Russell: Rationality and Intelligence. Artif. Intell. 94(1-2): 57-77 (1997)

Stuart J. Russell, Lewis Stiller, Othar Hansson: PNPACK: Computing with Probabilities in Java. Concurrency - Practice and Experience 9(11): 1333-1339 (1997)

John Binder, Daphne Koller, Stuart J. Russell, Keiji Kanazawa: Adaptive Probabilistic Networks with Hidden Variables. Machine Learning 29(2-3): 213-244 (1997)

Stuart J. Russell: Uncertain Learning Agents (Abstract). ECML 1997: 3

Nir Friedman, Moisés Goldszmidt, David Heckerman, Stuart J. Russell: Challenge: What is the Impact of Bayesian Networks on Learning? IJCAI (1) 1997: 10-15

Timothy Huang, Stuart J. Russell: Object Identification in a Bayesian Context. IJCAI 1997: 1276-1283

John Binder, Kevin P. Murphy, Stuart J. Russell: Space-Efficient Inference in Dynamic Probabilistic Networks. IJCAI 1997: 1292-1296

Ronald Parr, Stuart J. Russell: Reinforcement Learning with Hierarchies of Machines. NIPS 1997

Stuart J. Russell: Learning in Rational Agents. NIPS 1997

Nir Friedman, Stuart J. Russell: Image Segmentation in Video Sequences: A Probabilistic Approach. UAI 1997: 175-181

Shlomo Zilberstein, Stuart J. Russell: Optimal Composition of Real-Time Systems. Artif. Intell. 82(1-2): 181-213 (1996)

Stuart J. Russell: Tools for Autonomous Agents (Abstract). KI 1996: 331

Stuart J. Russell, Peter Norvig: Artificial intelligence - a modern approach: the intelligent agent book. Prentice Hall series in artificial intelligence, Prentice Hall 1995, isbn 978-0-13-103805-9, pp. I-XXVIII, 1-932

Stuart J. Russell, Devika Subramanian: Provably Bounded-Optimal Agents. J. Artif. Intell. Res. (JAIR) 2: 575-609 (1995)

Stuart J. Russell, Peter Norvig: A Modern, Agent-Oriented Approach to Introductory Artificial Intelligence. SIGART Bulletin 6(2): 24-26 (1995)

Stuart J. Russell: Rationality and Intelligence. IJCAI (1) 1995: 950-960

Ronald Parr, Stuart J. Russell: Approximating Optimal Policies for Partially Observable Stochastic Domains. IJCAI 1995: 1088-1095

Stuart J. Russell, John Binder, Daphne Koller, Keiji Kanazawa: Local Learning in Probabilistic Networks with Hidden Variables. IJCAI 1995: 1146-1152

Jeff Forbes, Timothy Huang, Keiji Kanazawa, Stuart J. Russell: The BATmobile: Towards a Bayesian Automated Taxi. IJCAI 1995: 1878-1885

Keiji Kanazawa, Daphne Koller, Stuart J. Russell: Stochastic simulation algorithms for dynamic probabilistic networks. UAI 1995: 346-351

Armand Prieditis, Stuart J. Russell (Eds.): Machine Learning, Proceedings of the Twelfth International Conference on Machine Learning, Tahoe City, California, USA, July 9-12, 1995. Morgan Kaufmann 1995, isbn 1-55860-377-8

Stuart J. Russell, Devika Subramanian: Provably Bounded-Optimal Agents. CoRR cs.AI/9505103 (1995)

Timothy Huang, Daphne Koller, Jitendra Malik, Gary H. Ogasawara, B. Rao, Stuart J. Russell, Joseph Weber: Automatic Symbolic Traffic Scene Analysis Using Belief Networks. AAAI 1994: 966-972

Jonathan Tash, Stuart J. Russell: Control Strategies for a Stochastic Planner. AAAI 1994: 1079-1085

Saso Dzeroski, Stephen Muggleton, Stuart J. Russell: Learnability of Constrained Logic Programs. ECML 1993: 342-347

Ron Musick, Jason Catlett, Stuart J. Russell: Decision Theoretic Subsampling for Induction on Large Databases. ICML 1993: 212-219

Stuart J. Russell, Devika Subramanian, Ronald Parr: Provably Bounded Optimal Agents. IJCAI 1993: 338-345

Gary H. Ogasawara, Stuart J. Russell: Planning Using Multiple Execution Architectures. IJCAI 1993: 1394-1401

Shlomo Zilberstein, Stuart J. Russell: Anytime Sensing Planning and Action: A Practical Model for Robot Control. IJCAI 1993: 1402-1407

Ron Musick, Stuart J. Russell: How Long Will It Take? AAAI 1992: 466-471

Saso Dzeroski, Stephen Muggleton, Stuart J. Russell: PAC-Learnability of Determinate Logic Programs. COLT 1992: 128-135

Stuart J. Russell: Efficient Memory-Bounded Search Methods. ECAI 1992: 1-5

Stuart J. Russell, Eric Wefald: Do the right thing - studies in limited rationality. MIT Press 1991, isbn 978-0-262-18144-0, pp. I-XX, 1-200

Stuart J. Russell, Eric Wefald: Principles of Metareasoning. Artif. Intell. 49(1-3): 361-395 (1991)

Stuart J. Russell: Prior knowledge and autonomous learning. Robotics and Autonomous Systems 8(1-2): 145-159 (1991)

Stuart J. Russell: An Architecture for Bounded Rationality. SIGART Bulletin 2(4): 146-150 (1991)

Stuart J. Russell, Shlomo Zilberstein: Composing Real-Time Systems. IJCAI 1991: 212-217

Eric Wefald, Stuart J. Russell: Adaptive Learning of Decision-Theoretic Search Control Knowledge. ML 1989: 408-411

Benjamin N. Grosof, Stuart J. Russell: Declarative Bias for Structural Domains. ML 1989: 480-482

Stuart J. Russell: Execution Architectures and Compilation. IJCAI 1989: 15-22

Stuart J. Russell, Eric Wefald: On Optimal Game-Tree Search using Rational Meta-Reasoning. IJCAI 1989: 334-340

Stuart J. Russell, Eric Wefald: Principles of Metareasoning. KR 1989: 400-411

Sampath Srinivas, Stuart J. Russell, Alice M. Agogino: Automated Construction of Sparse Bayesian Networks from Unstructured Probabilistic Models and Domain Information. UAI 1989: 295-308

Michael S. Braverman, Stuart J. Russell: IMEX: Overcoming Intactability In Explanation Based Learning. AAAI 1988: 575-579

Stuart J. Russell: Tree-Structured Bias. AAAI 1988: 641-645

Michael S. Braverman, Stuart J. Russell: Boundaries of Operationality. ML 1988: 221-234

Stuart J. Russell, Benjamin N. Grosof: A Declarative Approach to Bias in Concept Learning. AAAI 1987: 505-510

Todd R. Davies, Stuart J. Russell: A Logical Approach to Reasoning by Analogy. IJCAI 1987: 264-270

Stuart J. Russell: Quantitative Analysis of Analogy. AAAI 1986: 284-288

Stuart J. Russell: Preliminary Steps Toward the Automation of Induction. AAAI 1986: 477-484