| 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 |
