2008 | ||
---|---|---|
83 | Bhaskara Marthi, Stuart J. Russell, Jason Wolfe: Angelic Hierarchical Planning: Optimal and Online Algorithms. ICAPS 2008: 222-231 | |
82 | EE | Gregory 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 | |
79 | EE | Brian Milch, Stuart J. Russell: First-Order Probabilistic Languages: Into the Unknown. ILP 2006: 10-24 |
78 | EE | Bhaskara Marthi, Stuart J. Russell, David Andre: A Compact, Hierarchical Q-function Decomposition. UAI 2006 |
77 | EE | Brian Milch, Stuart J. Russell: General-Purpose MCMC Inference over Relational Structures. UAI 2006 |
2005 | ||
76 | EE | Brian Milch, Bhaskara Marthi, Stuart J. Russell, David Sontag, Daniel L. Ong, Andrey Kolobov: BLOG: Probabilistic Models with Unknown Objects. IJCAI 2005: 1352-1359 |
75 | EE | Stuart J. Russell, Jason Wolfe: Efficient belief-state AND-OR search, with application to Kriegspiel. IJCAI 2005: 278-285 |
74 | EE | Bhaskara Marthi, Stuart J. Russell, David Latham, Carlos Guestrin: Concurrent Hierarchical Reinforcement Learning. IJCAI 2005: 779-785 |
73 | EE | 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 |
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 | |
67 | EE | Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart J. Russell, Ilya Shpitser: Identity Uncertainty and Citation Matching. NIPS 2002: 1401-1408 |
66 | EE | 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 |
65 | EE | 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 |
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 | |
62 | EE | Nikunj C. Oza, Stuart J. Russell: Experimental comparisons of online and batch versions of bagging and boosting. KDD 2001: 359-364 |
61 | EE | Nando 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 | |
58 | EE | Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. UAI 2000: 176-183 |
1999 | ||
57 | EE | Stuart 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 | |
51 | EE | Stuart J. Russell: Learning Agents for Uncertain Environments (Extended Abstract). COLT 1998: 101-103 |
50 | EE | Nir Friedman, Kevin P. Murphy, Stuart J. Russell: Learning the Structure of Dynamic Probabilistic Networks. UAI 1998: 139-147 |
49 | EE | Timothy 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 | ||
47 | Stuart 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 | |
41 | EE | Nir Friedman, Stuart J. Russell: Image Segmentation in Video Sequences: A Probabilistic Approach. UAI 1997: 175-181 |
40 | EE | Stuart 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 | |
36 | EE | Shlomo 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 | |
31 | EE | Keiji Kanazawa, Daphne Koller, Stuart J. Russell: Stochastic simulation algorithms for dynamic probabilistic networks. UAI 1995: 346-351 |
30 | EE | Stuart 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 | ||
25 | Saso 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 | |
19 | EE | Saso 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) | |
15 | EE | Stuart 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 | |
8 | EE | 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 |
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 |