| 2011 | ||
|---|---|---|
| 93 | Jason Wolfe, Stuart J. Russell: Bounded Intention Planning. IJCAI 2011: 2039-2045 | |
| 2010 | ||
| 92 | Stuart J. Russell, Peter Norvig: Artificial Intelligence - A Modern Approach (3. internat. ed.). Pearson Education 2010: I-XVIII, 1-1132 | |
| 91 | Jason Wolfe, Bhaskara Marthi, Stuart J. Russell: Hierarchical Planning for Mobile Manipulation. Bridging the Gap Between Task and Motion Planning 2010 | |
| 90 | Jason Wolfe, Bhaskara Marthi, Stuart J. Russell: Combined Task and Motion Planning for Mobile Manipulation. ICAPS 2010: 254-258 | |
| 89 | 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) | |
| 2008 | ||
| 88 | Bhaskara Marthi, Stuart J. Russell, Jason Wolfe: Angelic Hierarchical Planning: Optimal and Online Algorithms. ICAPS 2008: 222-231 | |
| 87 | Gregory Lawrence, Stuart J. Russell: Improving Gradient Estimation by Incorporating Sensor Data. UAI 2008: 375-382 | |
| 2007 | ||
| 86 | Bhaskara Marthi, Stuart J. Russell, Jason Wolfe: Angelic Semantics for High-Level Actions. ICAPS 2007: 232-239 | |
| 2006 | ||
| 85 | T. K. Satish Kumar, Stuart J. Russell: On Some Tractable Cases of Logical Filtering. ICAPS 2006: 83-92 | |
| 84 | Brian Milch, Stuart J. Russell: First-Order Probabilistic Languages: Into the Unknown. ILP 2006: 10-24 | |
| 83 | Bhaskara Marthi, Stuart J. Russell, David Andre: A Compact, Hierarchical Q-function Decomposition. UAI 2006 | |
| 82 | Brian Milch, Stuart J. Russell: General-Purpose MCMC Inference over Relational Structures. UAI 2006 | |
| 2005 | ||
| 81 | Brian Milch, Bhaskara Marthi, Stuart J. Russell, David Sontag, Daniel L. Ong, Andrey Kolobov: BLOG: Probabilistic Models with Unknown Objects. IJCAI 2005: 1352-1359 | |
| 80 | Stuart J. Russell, Jason Wolfe: Efficient belief-state AND-OR search, with application to Kriegspiel. IJCAI 2005: 278-285 | |
| 79 | Bhaskara Marthi, Stuart J. Russell, David Latham, Carlos Guestrin: Concurrent Hierarchical Reinforcement Learning. IJCAI 2005: 779-785 | |
| 78 | 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 | |
| 2004 | ||
| 77 | Stuart J. Russell, Peter Norvig: Künstliche Intelligenz - ein moderner Ansatz (2. Aufl.). Pearson Studium 2004: 1-1327 | |
| 2003 | ||
| 76 | Stuart J. Russell, Andrew Zimdars: Q-Decomposition for Reinforcement Learning Agents. ICML 2003: 656-663 | |
| 75 | Eyal Amir, Stuart J. Russell: Logical Filtering. IJCAI 2003: 75-82 | |
| 74 | Gregory Lawrence, Noah J. Cowan, Stuart J. Russell: Efficient Gradient Estimation for Motor Control Learning. UAI 2003: 354-361 | |
| 73 | 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 | ||
| 72 | David Andre, Stuart J. Russell: State Abstraction for Programmable Reinforcement Learning Agents. AAAI/IAAI 2002: 119-125 | |
| 71 | Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart J. Russell, Ilya Shpitser: Identity Uncertainty and Citation Matching. NIPS 2002: 1401-1408 | |
| 70 | 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 | |
| 69 | 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 | |
| 68 | Bhaskara Marthi, Hanna Pasula, Stuart J. Russell, Yuval Peres: Decayed MCMC Filtering. UAI 2002: 319-326 | |
| 2001 | ||
| 67 | Hanna Pasula, Stuart J. Russell: Approximate inference for first-order probabilistic languages. IJCAI 2001: 741-748 | |
| 66 | Nikunj C. Oza, Stuart J. Russell: Experimental comparisons of online and batch versions of bagging and boosting. KDD 2001: 359-364 | |
| 65 | Nando de Freitas, Pedro A. d. F. R. Højen-Sørensen, Stuart J. Russell: Variational MCMC. UAI 2001: 120-127 | |
| 2000 | ||
| 64 | Andrew Y. Ng, Stuart J. Russell: Algorithms for Inverse Reinforcement Learning. ICML 2000: 663-670 | |
| 63 | David Andre, Stuart J. Russell: Programmable Reinforcement Learning Agents. NIPS 2000: 1019-1025 | |
| 62 | Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. UAI 2000: 176-183 | |
| 1999 | ||
| 61 | Stuart J. Russell: Expressive Probability Models in Science. Discovery Science 1999: 13-16 | |
| 60 | Andrew Y. Ng, Daishi Harada, Stuart J. Russell: Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping. ICML 1999: 278-287 | |
| 59 | Hanna Pasula, Stuart J. Russell, Michael Ostland, Yaacov Ritov: Tracking Many Objects with Many Sensors. IJCAI 1999: 1160-1171 | |
| 58 | Vassilis A. Papavassiliou, Stuart J. Russell: Convergence of Reinforcement Learning with General Function Approximators. IJCAI 1999: 748-757 | |
| 1998 | ||
| 57 | Geoffrey Zweig, Stuart J. Russell: Speech Recognition with Dynamic Bayesian Networks. AAAI/IAAI 1998: 173-180 | |
| 56 | Richard Dearden, Nir Friedman, Stuart J. Russell: Bayesian Q-Learning. AAAI/IAAI 1998: 761-768 | |
| 55 | Stuart J. Russell: Learning Agents for Uncertain Environments (Extended Abstract). COLT 1998: 101-103 | |
| 54 | Geoffrey Zweig, Stuart J. Russell: Probabilistic modeling with Bayesian networks for automatic speech recognition. ICSLP 1998 | |
| 53 | Nir Friedman, Kevin P. Murphy, Stuart J. Russell: Learning the Structure of Dynamic Probabilistic Networks. UAI 1998: 139-147 | |
| 52 | Timothy Huang, Stuart J. Russell: Object Identification: A Bayesian Analysis with Application to Traffic Surveillance. Artif. Intell. 103(1-2): 77-93 (1998) | |
| 51 | Prasad Tadepalli, Stuart J. Russell: Learning from Examples and Membership Queries with Structured Determinations. Machine Learning 32(3): 245-295 (1998) | |
| 1997 | ||
| 50 | Stuart J. Russell: Uncertain Learning Agents (Abstract). ECML 1997: 3 | |
| 49 | Timothy Huang, Stuart J. Russell: Object Identification in a Bayesian Context. IJCAI 1997: 1276-1283 | |
| 48 | John Binder, Kevin P. Murphy, Stuart J. Russell: Space-Efficient Inference in Dynamic Probabilistic Networks. IJCAI 1997: 1292-1296 | |
| 47 | Nir Friedman, Moisés Goldszmidt, David Heckerman, Stuart J. Russell: Challenge: What is the Impact of Bayesian Networks on Learning? IJCAI (1) 1997: 10-15 | |
| 46 | Stuart J. Russell: Learning in Rational Agents. NIPS 1997 | |
| 45 | Ronald Parr, Stuart J. Russell: Reinforcement Learning with Hierarchies of Machines. NIPS 1997 | |
| 44 | Nir Friedman, Stuart J. Russell: Image Segmentation in Video Sequences: A Probabilistic Approach. UAI 1997: 175-181 | |
| 43 | Stuart J. Russell: Rationality and Intelligence. Artif. Intell. 94(1-2): 57-77 (1997) | |
| 42 | Stuart J. Russell, Lewis Stiller, Othar Hansson: PNPACK: Computing with Probabilities in Java. Concurrency - Practice and Experience 9(11): 1333-1339 (1997) | |
| 41 | John Binder, Daphne Koller, Stuart J. Russell, Keiji Kanazawa: Adaptive Probabilistic Networks with Hidden Variables. Machine Learning 29(2-3): 213-244 (1997) | |
| 1996 | ||
| 40 | Stuart J. Russell: Tools for Autonomous Agents (Abstract). KI 1996: 331 | |
| 39 | Shlomo Zilberstein, Stuart J. Russell: Optimal Composition of Real-Time Systems. Artif. Intell. 82(1-2): 181-213 (1996) | |
| 1995 | ||
| 38 | Armand Prieditis, Stuart J. Russell: Machine Learning, Proceedings of the Twelfth International Conference on Machine Learning, Tahoe City, California, USA, July 9-12, 1995 Morgan Kaufmann 1995 | |
| 37 | Stuart J. Russell, Peter Norvig: Artificial intelligence - a modern approach: the intelligent agent book. Prentice Hall 1995: I-XXVIII, 1-932 | |
| 36 | Ronald Parr, Stuart J. Russell: Approximating Optimal Policies for Partially Observable Stochastic Domains. IJCAI 1995: 1088-1095 | |
| 35 | Stuart J. Russell, John Binder, Daphne Koller, Keiji Kanazawa: Local Learning in Probabilistic Networks with Hidden Variables. IJCAI 1995: 1146-1152 | |
| 34 | Jeff Forbes, Timothy Huang, Keiji Kanazawa, Stuart J. Russell: The BATmobile: Towards a Bayesian Automated Taxi. IJCAI 1995: 1878-1885 | |
| 33 | Stuart J. Russell: Rationality and Intelligence. IJCAI (1) 1995: 950-960 | |
| 32 | Keiji Kanazawa, Daphne Koller, Stuart J. Russell: Stochastic simulation algorithms for dynamic probabilistic networks. UAI 1995: 346-351 | |
| 31 | Stuart J. Russell, Devika Subramanian: Provably Bounded-Optimal Agents CoRR cs.AI/9505103: (1995) | |
| 30 | Stuart J. Russell, Devika Subramanian: Provably Bounded-Optimal Agents. J. Artif. Intell. Res. (JAIR) 2: 575-609 (1995) | |
| 29 | Stuart J. Russell, Peter Norvig: A Modern, Agent-Oriented Approach to Introductory Artificial Intelligence. SIGART Bulletin 6(2): 24-26 (1995) | |
| 1994 | ||
| 28 | Jonathan Tash, Stuart J. Russell: Control Strategies for a Stochastic Planner. AAAI 1994: 1079-1085 | |
| 27 | 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 | ||
| 26 | Saso Dzeroski, Stephen Muggleton, Stuart J. Russell: Learnability of Constrained Logic Programs. ECML 1993: 342-347 | |
| 25 | Ron Musick, Jason Catlett, Stuart J. Russell: Decision Theoretic Subsampling for Induction on Large Databases. ICML 1993: 212-219 | |
| 24 | Gary H. Ogasawara, Stuart J. Russell: Planning Using Multiple Execution Architectures. IJCAI 1993: 1394-1401 | |
| 23 | Shlomo Zilberstein, Stuart J. Russell: Anytime Sensing Planning and Action: A Practical Model for Robot Control. IJCAI 1993: 1402-1407 | |
| 22 | Stuart J. Russell, Devika Subramanian, Ronald Parr: Provably Bounded Optimal Agents. IJCAI 1993: 338-345 | |
| 1992 | ||
| 21 | Ron Musick, Stuart J. Russell: How Long Will It Take? AAAI 1992: 466-471 | |
| 20 | Saso Dzeroski, Stephen Muggleton, Stuart J. Russell: PAC-Learnability of Determinate Logic Programs. COLT 1992: 128-135 | |
| 19 | Stuart J. Russell: Efficient Memory-Bounded Search Methods. ECAI 1992: 1-5 | |
| 1991 | ||
| 18 | Stuart J. Russell, Eric Wefald: Do the right thing - studies in limited rationality. MIT Press 1991: I-XX, 1-200 | |
| 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 | 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 | 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 | |
Colors in the list of coauthors
Last update Fri May 25 01:42:58 2012 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page