Stuart J. Russell

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2011
85Bounded Intention Planning. Jason Wolfe, Stuart J. Russell. IJCAI 2011, 2039-2045. Web SearchBibTeXDownload
2010
84Reports of the AAAI 2010 Conference Workshops. 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. AI Magazine (31): 95-108 (2010). Web SearchBibTeXDownload
83Combined Task and Motion Planning for Mobile Manipulation. Jason Wolfe, Bhaskara Marthi, Stuart J. Russell. ICAPS 2010, 254-258. Web SearchBibTeXDownload
2008
82Angelic Hierarchical Planning: Optimal and Online Algorithms. Bhaskara Marthi, Stuart J. Russell, Jason Wolfe. ICAPS 2008, 222-231. Web SearchBibTeX
81Improving Gradient Estimation by Incorporating Sensor Data. Gregory Lawrence, Stuart J. Russell. UAI 2008, 375-382. Web SearchBibTeXDownload
2007
80Angelic Semantics for High-Level Actions. Bhaskara Marthi, Stuart J. Russell, Jason Wolfe. ICAPS 2007, 232-239. Web SearchBibTeX
2006
79On Some Tractable Cases of Logical Filtering. T. K. Satish Kumar, Stuart J. Russell. ICAPS 2006, 83-92. Web SearchBibTeX
78First-Order Probabilistic Languages: Into the Unknown. Brian Milch, Stuart J. Russell. ILP 2006, 10-24. Web SearchBibTeXDownload
77A Compact, Hierarchical Q-function Decomposition. Bhaskara Marthi, Stuart J. Russell, David Andre. UAI 2006. Web SearchBibTeXDownload
76General-Purpose MCMC Inference over Relational Structures. Brian Milch, Stuart J. Russell. UAI 2006. Web SearchBibTeXDownload
2005
75Efficient belief-state AND-OR search, with application to Kriegspiel. Stuart J. Russell, Jason Wolfe. IJCAI 2005, 278-285. Web SearchBibTeXDownload
74Concurrent Hierarchical Reinforcement Learning. Bhaskara Marthi, Stuart J. Russell, David Latham, Carlos Guestrin. IJCAI 2005, 779-785. Web SearchBibTeXDownload
73BLOG: Probabilistic Models with Unknown Objects. Brian Milch, Bhaskara Marthi, Stuart J. Russell, David Sontag, Daniel L. Ong, Andrey Kolobov. IJCAI 2005, 1352-1359. Web SearchBibTeXDownload
2003
72Q-Decomposition for Reinforcement Learning Agents. Stuart J. Russell, Andrew Zimdars. ICML 2003, 656-663. Web SearchBibTeX
71Logical Filtering. Eyal Amir, Stuart J. Russell. IJCAI 2003, 75-82. Web SearchBibTeX
70A generalized mean field algorithm for variational inference in exponential families. Eric P. Xing, Michael I. Jordan, Stuart J. Russell. UAI 2003, 583-591. Web SearchBibTeXDownload
69Efficient Gradient Estimation for Motor Control Learning. Gregory Lawrence, Noah J. Cowan, Stuart J. Russell. UAI 2003, 354-361. Web SearchBibTeXDownload
2002
68State Abstraction for Programmable Reinforcement Learning Agents. David Andre, Stuart J. Russell. AAAI/IAAI 2002, 119-125. Web SearchBibTeX
67A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences. Eric P. Xing, Michael I. Jordan, Richard M. Karp, Stuart J. Russell. NIPS 2002, 1489-1496. Web SearchBibTeXDownload
66Identity Uncertainty and Citation Matching. Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart J. Russell, Ilya Shpitser. NIPS 2002, 1401-1408. Web SearchBibTeXDownload
65Distance Metric Learning with Application to Clustering with Side-Information. Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, Stuart J. Russell. NIPS 2002, 505-512. Web SearchBibTeXDownload
64Decayed MCMC Filtering. Bhaskara Marthi, Hanna Pasula, Stuart J. Russell, Yuval Peres. UAI 2002, 319-326. Web SearchBibTeXDownload
2001
63Approximate inference for first-order probabilistic languages. Hanna Pasula, Stuart J. Russell. IJCAI 2001, 741-748. Web SearchBibTeX
62Experimental comparisons of online and batch versions of bagging and boosting. Nikunj C. Oza, Stuart J. Russell. KDD 2001, 359-364. Web SearchBibTeXDownload
61Variational MCMC. Nando de Freitas, Pedro A. d. F. R. Højen-Sørensen, Stuart J. Russell. UAI 2001, 120-127. Web SearchBibTeXDownload
2000
60Algorithms for Inverse Reinforcement Learning. Andrew Y. Ng, Stuart J. Russell. ICML 2000, 663-670. Web SearchBibTeX
59Programmable Reinforcement Learning Agents. David Andre, Stuart J. Russell. NIPS 2000, 1019-1025. Web SearchBibTeX
58Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell. UAI 2000, 176-183. Web SearchBibTeXDownload
1999
57Expressive Probability Models in Science. Stuart J. Russell. Discovery Science 1999, 13-16. Web SearchBibTeXDownload
56Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping. Andrew Y. Ng, Daishi Harada, Stuart J. Russell. ICML 1999, 278-287. Web SearchBibTeX
55Tracking Many Objects with Many Sensors. Hanna Pasula, Stuart J. Russell, Michael Ostland, Yaacov Ritov. IJCAI 1999, 1160-1171. Web SearchBibTeX
54Convergence of Reinforcement Learning with General Function Approximators. Vassilis A. Papavassiliou, Stuart J. Russell. IJCAI 1999, 748-757. Web SearchBibTeX
1998
53Bayesian Q-Learning. Richard Dearden, Nir Friedman, Stuart J. Russell. AAAI/IAAI 1998, 761-768. Web SearchBibTeX
52Speech Recognition with Dynamic Bayesian Networks. Geoffrey Zweig, Stuart J. Russell. AAAI/IAAI 1998, 173-180. Web SearchBibTeX
51Object Identification: A Bayesian Analysis with Application to Traffic Surveillance. Timothy Huang, Stuart J. Russell. Artif. Intell. (103): 77-93 (1998). Web SearchBibTeXDownload
50Learning Agents for Uncertain Environments (Extended Abstract). Stuart J. Russell. COLT 1998, 101-103. Web SearchBibTeXDownload
49Probabilistic modeling with Bayesian networks for automatic speech recognition. Geoffrey Zweig, Stuart J. Russell. ICSLP 1998. Web SearchBibTeXDownload
48Learning from Examples and Membership Queries with Structured Determinations. Prasad Tadepalli, Stuart J. Russell. Machine Learning (32): 245-295 (1998). Web SearchBibTeXDownload
47Learning the Structure of Dynamic Probabilistic Networks. Nir Friedman, Kevin P. Murphy, Stuart J. Russell. UAI 1998, 139-147. Web SearchBibTeXDownload
1997
46Rationality and Intelligence. Stuart J. Russell. Artif. Intell. (94): 57-77 (1997). Web SearchBibTeXDownload
45PNPACK: Computing with Probabilities in Java. Stuart J. Russell, Lewis Stiller, Othar Hansson. Concurrency - Practice and Experience (9): 1333-1339 (1997). Web SearchBibTeX
44Uncertain Learning Agents (Abstract). Stuart J. Russell. ECML 1997, 3. Web SearchBibTeXDownload
43Space-Efficient Inference in Dynamic Probabilistic Networks. John Binder, Kevin P. Murphy, Stuart J. Russell. IJCAI 1997, 1292-1296. Web SearchBibTeX
42Object Identification in a Bayesian Context. Timothy Huang, Stuart J. Russell. IJCAI 1997, 1276-1283. Web SearchBibTeX
41Challenge: What is the Impact of Bayesian Networks on Learning?. Nir Friedman, Moisés Goldszmidt, David Heckerman, Stuart J. Russell. IJCAI (1) 1997, 10-15. Web SearchBibTeX
40Adaptive Probabilistic Networks with Hidden Variables. John Binder, Daphne Koller, Stuart J. Russell, Keiji Kanazawa. Machine Learning (29): 213-244 (1997). Web SearchBibTeXDownload
39Learning in Rational Agents. Stuart J. Russell. NIPS 1997. Web SearchBibTeX
38Reinforcement Learning with Hierarchies of Machines. Ronald Parr, Stuart J. Russell. NIPS 1997. Web SearchBibTeX
37Image Segmentation in Video Sequences: A Probabilistic Approach. Nir Friedman, Stuart J. Russell. UAI 1997, 175-181. Web SearchBibTeXDownload
1996
36Optimal Composition of Real-Time Systems. Shlomo Zilberstein, Stuart J. Russell. Artif. Intell. (82): 181-213 (1996). Web SearchBibTeXDownload
35Tools for Autonomous Agents (Abstract). Stuart J. Russell. KI 1996, 331. Web SearchBibTeXDownload
1995
34Provably Bounded-Optimal Agents. Stuart J. Russell, Devika Subramanian. CoRR (cs.AI/9505103): 575-609 (1995). Web SearchBibTeXDownload
33Approximating Optimal Policies for Partially Observable Stochastic Domains. Ronald Parr, Stuart J. Russell. IJCAI 1995, 1088-1095. Web SearchBibTeX
32The BATmobile: Towards a Bayesian Automated Taxi. Jeff Forbes, Timothy Huang, Keiji Kanazawa, Stuart J. Russell. IJCAI 1995, 1878-1885. Web SearchBibTeX
31Local Learning in Probabilistic Networks with Hidden Variables. Stuart J. Russell, John Binder, Daphne Koller, Keiji Kanazawa. IJCAI 1995, 1146-1152. Web SearchBibTeX
30Rationality and Intelligence. Stuart J. Russell. IJCAI (1) 1995, 950-960. Web SearchBibTeX
29A Modern, Agent-Oriented Approach to Introductory Artificial Intelligence. Stuart J. Russell, Peter Norvig. SIGART Bulletin (6): 24-26 (1995). Web SearchBibTeXDownload
28Stochastic simulation algorithms for dynamic probabilistic networks. Keiji Kanazawa, Daphne Koller, Stuart J. Russell. UAI 1995, 346-351. Web SearchBibTeXDownload
1994
27Control Strategies for a Stochastic Planner. Jonathan Tash, Stuart J. Russell. AAAI 1994, 1079-1085. Web SearchBibTeX
26Automatic Symbolic Traffic Scene Analysis Using Belief Networks. Timothy Huang, Daphne Koller, Jitendra Malik, Gary H. Ogasawara, B. Rao, Stuart J. Russell, Joseph Weber. AAAI 1994, 966-972. Web SearchBibTeX
1993
25Learnability of Constrained Logic Programs. Saso Dzeroski, Stephen Muggleton, Stuart J. Russell. ECML 1993, 342-347. Web SearchBibTeXDownload
24Decision Theoretic Subsampling for Induction on Large Databases. Ron Musick, Jason Catlett, Stuart J. Russell. ICML 1993, 212-219. Web SearchBibTeX
23Anytime Sensing Planning and Action: A Practical Model for Robot Control. Shlomo Zilberstein, Stuart J. Russell. IJCAI 1993, 1402-1407. Web SearchBibTeX
22Provably Bounded Optimal Agents. Stuart J. Russell, Devika Subramanian, Ronald Parr. IJCAI 1993, 338-345. Web SearchBibTeX
21Planning Using Multiple Execution Architectures. Gary H. Ogasawara, Stuart J. Russell. IJCAI 1993, 1394-1401. Web SearchBibTeX
1992
20How Long Will It Take?. Ron Musick, Stuart J. Russell. AAAI 1992, 466-471. Web SearchBibTeX
19PAC-Learnability of Determinate Logic Programs. Saso Dzeroski, Stephen Muggleton, Stuart J. Russell. COLT 1992, 128-135. Web SearchBibTeXDownload
18Efficient Memory-Bounded Search Methods. Stuart J. Russell. ECAI 1992, 1-5. Web SearchBibTeX
1991
17Principles of Metareasoning. Stuart J. Russell, Eric Wefald. Artif. Intell. (49): 361-395 (1991). Web SearchBibTeXDownload
16Composing Real-Time Systems. Stuart J. Russell, Shlomo Zilberstein. IJCAI 1991, 212-217. Web SearchBibTeX
15Prior knowledge and autonomous learning. Stuart J. Russell. Robotics and Autonomous Systems (8): 145-159 (1991). Web SearchBibTeXDownload
14An Architecture for Bounded Rationality. Stuart J. Russell. SIGART Bulletin (2): 146-150 (1991). Web SearchBibTeXDownload
1989
13Execution Architectures and Compilation. Stuart J. Russell. IJCAI 1989, 15-22. Web SearchBibTeX
12On Optimal Game-Tree Search using Rational Meta-Reasoning. Stuart J. Russell, Eric Wefald. IJCAI 1989, 334-340. Web SearchBibTeX
11Principles of Metareasoning. Stuart J. Russell, Eric Wefald. KR 1989, 400-411. Web SearchBibTeX
10Declarative Bias for Structural Domains. Benjamin N. Grosof, Stuart J. Russell. ML 1989, 480-482. Web SearchBibTeX
9Adaptive Learning of Decision-Theoretic Search Control Knowledge. Eric Wefald, Stuart J. Russell. ML 1989, 408-411. Web SearchBibTeX
8Automated Construction of Sparse Bayesian Networks from Unstructured Probabilistic Models and Domain Information. Sampath Srinivas, Stuart J. Russell, Alice M. Agogino. UAI 1989, 295-308. Web SearchBibTeXDownload
1988
7IMEX: Overcoming Intactability In Explanation Based Learning. Michael S. Braverman, Stuart J. Russell. AAAI 1988, 575-579. Web SearchBibTeX
6Tree-Structured Bias. Stuart J. Russell. AAAI 1988, 641-645. Web SearchBibTeX
5Boundaries of Operationality. Michael S. Braverman, Stuart J. Russell. ML 1988, 221-234. Web SearchBibTeX
1987
4A Declarative Approach to Bias in Concept Learning. Stuart J. Russell, Benjamin N. Grosof. AAAI 1987, 505-510. Web SearchBibTeX
3A Logical Approach to Reasoning by Analogy. Todd R. Davies, Stuart J. Russell. IJCAI 1987, 264-270. Web SearchBibTeX
1986
2Preliminary Steps Toward the Automation of Induction. Stuart J. Russell. AAAI 1986, 477-484. Web SearchBibTeX
1Quantitative Analysis of Analogy. Stuart J. Russell. AAAI 1986, 284-288. Web SearchBibTeX
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References
1. ^ Brown CS: Brown CS: Computer Vision and Learning Seminar Series - Retrieved 2009-11-20 - details
2. ^ Computer Science Colloquium - NYU Computer Science Department - Retrieved 2011-04-23 - details
3. ^ Forum for Artificial Intelligence - Retrieved 2011-04-21 - details
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