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Stuart J. Russell Vis

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

Coauthor Index

1Alice M. Agogino [8]
2Eyal Amir [71]
3David Andre [59] [68] [78]
4John Binder [34] [38] [45]
5Michael S. Braverman [5] [7]
6Jason Catlett [24]
7Noah J. Cowan [70]
8Todd R. Davies [3]
9Richard Dearden [52]
10Arnaud Doucet [58]
11Saso Dzeroski [19] [25]
12Jeff Forbes [33]
13Nando de Freitas [58] [61]
14Nir Friedman [41] [44] [50] [52]
15Moisés Goldszmidt [44]
16Benjamin N. Grosof [4] [9]
17Carlos Guestrin [74]
18Othar Hansson [39]
19Daishi Harada [56]
20David Heckerman [44]
21Pedro A. d. F. R. Højen-Sørensen [61]
22Timothy Huang [26] [33] [46] [49]
23Michael I. Jordan [65] [66] [69]
24Keiji Kanazawa [31] [33] [34] [38]
25Richard M. Karp [66]
26Daphne Koller [26] [31] [34] [38]
27Andrey Kolobov [73] [76]
28T. K. Satish Kumar [80]
29David Latham [74]
30Gregory Lawrence [70] [82]
31Jitendra Malik [26]
32Bhaskara Marthi [64] [67] [73] [74] [76] [78] [81] [83]
33Brian Milch [67] [73] [76] [77] [79]
34Stephen Muggleton [19] [25]
35Kevin P. Murphy [45] [50] [58]
36Ron Musick [20] [24]
37Andrew Y. Ng [56] [60] [65]
38Peter Norvig [28]
39Gary H. Ogasawara [23] [26]
40Daniel L. Ong [73] [76]
41Michael Ostland [55]
42Nikunj C. Oza [62]
43Vassilis A. Papavassiliou [54]
44Ronald Parr [21] [35] [42]
45Hanna M. Pasula (Hanna Pasula) [55] [63] [64] [67]
46Yuval Peres [64]
47B. Rao [26]
48Yaacov Ritov [55]
49Ilya Shpitser [67]
50David Sontag [73] [76]
51Sampath Srinivas [8]
52Lewis Stiller [39]
53Devika Subramanian [21] [29] [30]
54Prasad Tadepalli [48]
55Jonathan Tash [27]
56Joseph Weber [26]
57Eric Wefald [10] [11] [12] [16]
58Jason Wolfe [75] [81] [83]
59Eric P. Xing [65] [66] [69]
60Shlomo Zilberstein [17] [22] [36]
61Andrew Zimdars [72]
62Geoffrey Zweig [53]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)