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Michael L. Littman Vis

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*2009
115 Andrea Pohoreckyj Danyluk, Léon Bottou, Michael L. Littman: Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009 ACM 2009
114EELihong Li, Michael L. Littman, Christopher R. Mansley: Online exploration in least-squares policy iteration. AAMAS (2) 2009: 733-739
113EEThomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman: Learning and planning in environments with delayed feedback. Autonomous Agents and Multi-Agent Systems 18(1): 83-105 (2009)
2008
112 John Asmuth, Michael L. Littman, Robert Zinkov: Potential-based Shaping in Model-based Reinforcement Learning. AAAI 2008: 604-609
111 Thomas J. Walsh, Michael L. Littman: Efficient Learning of Action Schemas and Web-Service Descriptions. AAAI 2008: 714-719
110EEMonica Babes, Enrique Munoz de Cote, Michael L. Littman: Social reward shaping in the prisoner's dilemma. AAMAS (3) 2008: 1389-1392
109EEFusun Yaman, Thomas J. Walsh, Michael L. Littman, Marie desJardins: Democratic approximation of lexicographic preference models. ICML 2008: 1200-1207
108EECarlos Diuk, Andre Cohen, Michael L. Littman: An object-oriented representation for efficient reinforcement learning. ICML 2008: 240-247
107EELihong Li, Michael L. Littman, Thomas J. Walsh: Knows what it knows: a framework for self-aware learning. ICML 2008: 568-575
106EERonald Parr, Lihong Li, Gavin Taylor, Christopher Painter-Wakefield, Michael L. Littman: An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning. ICML 2008: 752-759
105EEAli Nouri, Michael L. Littman: Multi-resolution Exploration in Continuous Spaces. NIPS 2008: 1209-1216
104EEMichael L. Littman: Autonomous Model Learning for Reinforcement Learning. QEST 2008: 3
103EEEnrique Munoz de Cote, Michael L. Littman: A Polynomial-time Nash Equilibrium Algorithm for Repeated Stochastic Games. UAI 2008: 419-426
102EEEmma Brunskill, Bethany R. Leffler, Lihong Li, Michael L. Littman, Nicholas Roy: CORL: A Continuous-state Offset-dynamics Reinforcement Learner. UAI 2008: 53-61
101EEDavid L. Roberts, Charles L. Isbell, Michael L. Littman: Optimization problems involving collections of dependent objects. Annals OR 163(1): 255-270 (2008)
100EEAlexander L. Strehl, Michael L. Littman: An analysis of model-based Interval Estimation for Markov Decision Processes. J. Comput. Syst. Sci. 74(8): 1309-1331 (2008)
2007
99 Bethany R. Leffler, Michael L. Littman, Timothy Edmunds: Efficient Reinforcement Learning with Relocatable Action Models. AAAI 2007: 572-577
98 Alexander L. Strehl, Carlos Diuk, Michael L. Littman: Efficient Structure Learning in Factored-State MDPs. AAAI 2007: 645-650
97EEThomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman: Planning and Learning in Environments with Delayed Feedback. ECML 2007: 442-453
96EERonald Parr, Christopher Painter-Wakefield, Lihong Li, Michael L. Littman: Analyzing feature generation for value-function approximation. ICML 2007: 737-744
95EEAlexander L. Strehl, Michael L. Littman: Online Linear Regression and Its Application to Model-Based Reinforcement Learning. NIPS 2007
94EEMartin Zinkevich, Amy R. Greenwald, Michael L. Littman: A hierarchy of prescriptive goals for multiagent learning. Artif. Intell. 171(7): 440-447 (2007)
93EEAmy R. Greenwald, Michael L. Littman: Introduction to the special issue on learning and computational game theory. Machine Learning 67(1-2): 3-6 (2007)
2006
92 David L. Roberts, Mark J. Nelson, Charles Lee Isbell Jr., Michael Mateas, Michael L. Littman: Targeting Specific Distributions of Trajectories in MDPs. AAAI 2006
91EECarlos Diuk, Alexander L. Strehl, Michael L. Littman: A hierarchical approach to efficient reinforcement learning in deterministic domains. AAMAS 2006: 313-319
90EEAlexander L. Strehl, Lihong Li, Eric Wiewiora, John Langford, Michael L. Littman: PAC model-free reinforcement learning. ICML 2006: 881-888
89EEAlexander L. Strehl, Chris Mesterharm, Michael L. Littman, Haym Hirsh: Experience-efficient learning in associative bandit problems. ICML 2006: 889-896
88EEMichael L. Littman, Nishkam Ravi, Arjun Talwar, Martin Zinkevich: An Efficient Optimal-Equilibrium Algorithm for Two-player Game Trees. UAI 2006
87EEAlexander L. Strehl, Lihong Li, Michael L. Littman: Incremental Model-based Learners With Formal Learning-Time Guarantees. UAI 2006
2005
86 Lihong Li, Michael L. Littman: Lazy Approximation for Solving Continuous Finite-Horizon MDPs. AAAI 2005: 1175-1180
85 Nishkam Ravi, Nikhil Dandekar, Preetham Mysore, Michael L. Littman: Activity Recognition from Accelerometer Data. AAAI 2005: 1541-1546
84EEAlexander L. Strehl, Michael L. Littman: A theoretical analysis of Model-Based Interval Estimation. ICML 2005: 856-863
83EEMartin Zinkevich, Amy R. Greenwald, Michael L. Littman: Cyclic Equilibria in Markov Games. NIPS 2005
82EEBethany R. Leffler, Michael L. Littman, Alexander L. Strehl, Thomas J. Walsh: Efficient Exploration With Latent Structure. Robotics: Science and Systems 2005: 81-88
81 Nicholas L. Cassimatis, Sean Luke, Simon D. Levy, Ross Gayler, Pentti Kanerva, Chris Eliasmith, Timothy W. Bickmore, Alan C. Schultz, Randall Davis, James A. Landay, Robert C. Miller, Eric Saund, Thomas F. Stahovich, Michael L. Littman, Satinder P. Singh, Shlomo Argamon, Shlomo Dubnov: Reports on the 2004 AAAI Fall Symposia. AI Magazine 26(1): 98-102 (2005)
80EEPeter D. Turney, Michael L. Littman, Jeffrey Bigham, Victor Shnayder: Combining Independent Modules in Lexical Multiple-Choice Problems CoRR abs/cs/0501018: (2005)
79EEPeter D. Turney, Michael L. Littman: Corpus-based Learning of Analogies and Semantic Relations CoRR abs/cs/0508103: (2005)
78EEMichael L. Littman, Peter Stone: A polynomial-time Nash equilibrium algorithm for repeated games. Decision Support Systems 39(1): 55-66 (2005)
77EEHåkan L. S. Younes, Michael L. Littman, David Weissman, John Asmuth: The First Probabilistic Track of the International Planning Competition. J. Artif. Intell. Res. (JAIR) 24: 851-887 (2005)
76EEPeter D. Turney, Michael L. Littman: Corpus-based Learning of Analogies and Semantic Relations. Machine Learning 60(1-3): 251-278 (2005)
2004
75 Michael L. Littman, Nishkam Ravi, Eitan Fenson, Rich Howard: An Instance-Based State Representation for Network Repair. AAAI 2004: 287-292
74EEMichael L. Littman, Nishkam Ravi, Eitan Fenson, Rich Howard: Reinforcement Learning for Autonomic Network Repair. ICAC 2004: 284-285
73EEAlexander L. Strehl, Michael L. Littman: An Empirical Evaluation of Interval Estimation for Markov Decision Processes. ICTAI 2004: 128-135
2003
72EEMichael L. Littman, Peter Stone: A polynomial-time nash equilibrium algorithm for repeated games. ACM Conference on Electronic Commerce 2003: 48-54
71EEMichael L. Littman: Tutorial: Learning Topics in Game-Theoretic Decision Making. COLT 2003: 1
70 Satinder P. Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe, Peter Stone: Learning Predictive State Representations. ICML 2003: 712-719
69 Peter D. Turney, Michael L. Littman, Jeffrey Bigham, Victor Shnayder: Combining independent modules in lexical multiple-choice problems. RANLP 2003: 101-110
68EEPeter D. Turney, Michael L. Littman: Measuring praise and criticism: Inference of semantic orientation from association. ACM Trans. Inf. Syst. 21(4): 315-346 (2003)
67 Yukio Ohsawa, Peter McBurney, Simon Parsons, Christopher A. Miller, Alan C. Schultz, Jean Scholtz, Michael A. Goodrich, Eugene Santos Jr., Benjamin Bell, Charles Lee Isbell Jr., Michael L. Littman: AAAI-2002 Fall Symposium Series. AI Magazine 24(1): 95-98 (2003)
66EEStephen M. Majercik, Michael L. Littman: Contingent planning under uncertainty via stochastic satisfiability. Artif. Intell. 147(1-2): 119-162 (2003)
65EEPeter D. Turney, Michael L. Littman: Measuring Praise and Criticism: Inference of Semantic Orientation from Association CoRR cs.CL/0309034: (2003)
64EEPeter D. Turney, Michael L. Littman, Jeffrey Bigham, Victor Shnayder: Combining Independent Modules to Solve Multiple-choice Synonym and Analogy Problems CoRR cs.CL/0309035: (2003)
63EEPeter D. Turney, Michael L. Littman: Learning Analogies and Semantic Relations CoRR cs.LG/0307055: (2003)
62EEPeter Stone, Robert E. Schapire, Michael L. Littman, János A. Csirik, David A. McAllester: Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions. J. Artif. Intell. Res. (JAIR) 19: 209-242 (2003)
2002
61EEPaul S. A. Reitsma, Peter Stone, János Csirik, Michael L. Littman: Randomized strategic demand reduction: getting more by asking for less. AAMAS 2002: 162-163
60EEPeter Stone, Robert E. Schapire, János A. Csirik, Michael L. Littman, David A. McAllester: ATTac-2001: A Learning, Autonomous Bidding Agent. AMEC 2002: 143-160
59EEPaul S. A. Reitsma, Peter Stone, János A. Csirik, Michael L. Littman: Self-Enforcing Strategic Demand Reduction. AMEC 2002: 289-306
58 Robert E. Schapire, Peter Stone, David A. McAllester, Michael L. Littman, János A. Csirik: Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation. ICML 2002: 546-553
57EEMichail G. Lagoudakis, Ronald Parr, Michael L. Littman: Least-Squares Methods in Reinforcement Learning for Control. SETN 2002: 249-260
56EEMichael L. Littman, Greg A. Keim, Noam M. Shazeer: A probabilistic approach to solving crossword puzzles. Artif. Intell. 134(1-2): 23-55 (2002)
55EEPeter D. Turney, Michael L. Littman: Unsupervised Learning of Semantic Orientation from a Hundred-Billion-Word Corpus CoRR cs.LG/0212012: (2002)
2001
54EEMichael L. Littman, Peter Stone: Implicit Negotiation in Repeated Games. ATAL 2001: 393-404
53EEPeter Stone, Michael L. Littman, Satinder P. Singh, Michael J. Kearns: ATTac-2000: an adaptive autonomous bidding agent. Agents 2001: 238-245
52 Michael L. Littman: Friend-or-Foe Q-learning in General-Sum Games. ICML 2001: 322-328
51EEMichael L. Littman, Richard S. Sutton, Satinder P. Singh: Predictive Representations of State. NIPS 2001: 1555-1561
50EESanjoy Dasgupta, Michael L. Littman, David A. McAllester: PAC Generalization Bounds for Co-training. NIPS 2001: 375-382
49EEMichael L. Littman, Michael J. Kearns, Satinder P. Singh: An Efficient, Exact Algorithm for Solving Tree-Structured Graphical Games. NIPS 2001: 817-823
48EEMichael J. Kearns, Michael L. Littman, Satinder P. Singh: Graphical Models for Game Theory. UAI 2001: 253-260
47EEJános A. Csirik, Michael L. Littman, Satinder P. Singh, Peter Stone: FAucS : An FCC Spectrum Auction Simulator for Autonomous Bidding Agents. WELCOM 2001: 139-151
46EEMichail G. Lagoudakis, Michael L. Littman: Learning to Select Branching Rules in the DPLL Procedure for Satisfiability. Electronic Notes in Discrete Mathematics 9: 344-359 (2001)
45EEPeter Stone, Michael L. Littman, Satinder P. Singh, Michael J. Kearns: ATTac-2000: An Adaptive Autonomous Bidding Agent. J. Artif. Intell. Res. (JAIR) 15: 189-206 (2001)
44 Michael L. Littman, Stephen M. Majercik, Toniann Pitassi: Stochastic Boolean Satisfiability. J. Autom. Reasoning 27(3): 251-296 (2001)
2000
43 Michail G. Lagoudakis, Michael L. Littman: Reinforcement Learning for Algorithm Selection. AAAI/IAAI 2000: 1081
42 Jiefu Shi, Michael L. Littman: Towards Approximately Optimal Poker. AAAI/IAAI 2000: 1094
41EEJiefu Shi, Michael L. Littman: Abstraction Methods for Game Theoretic Poker. Computers and Games 2000: 333-345
40EEMichael L. Littman: Review: Computer Language Games. Computers and Games 2000: 396-404
39 Fan Jiang, Michael L. Littman: Approximate Dimension Equalization in Vector-based Information Retrieval. ICML 2000: 423-430
38 Michail G. Lagoudakis, Michael L. Littman: Algorithm Selection using Reinforcement Learning. ICML 2000: 511-518
37 Justin A. Boyan, Michael L. Littman: Exact Solutions to Time-Dependent MDPs. NIPS 2000: 1026-1032
36 Sebastian Thrun, Michael L. Littman: A Review of Reinforcement Learning. AI Magazine 21(1): 103-105 (2000)
35 Satinder P. Singh, Tommi Jaakkola, Michael L. Littman, Csaba Szepesvári: Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms. Machine Learning 38(3): 287-308 (2000)
1999
34 Noam M. Shazeer, Michael L. Littman, Greg A. Keim: Solving Crossword Puzzles as Probabilistic Constraint Satisfaction. AAAI/IAAI 1999: 156-162
33 Stephen M. Majercik, Michael L. Littman: Contingent Planning Under Uncertainty via Stochastic Satisfiability. AAAI/IAAI 1999: 549-556
32 Michael L. Littman: Initial Experiments in Stochastic Satisfiability. AAAI/IAAI 1999: 667-672
31 Greg A. Keim, Noam M. Shazeer, Michael L. Littman, Sushant Agarwal, Catherine M. Cheves, Joseph Fitzgerald, Jason Grosland, Fan Jiang, Shannon Pollard, Karl Weinmeister: PROVERB: The Probabilistic Cruciverbalist. AAAI/IAAI 1999: 710-717
30 Michael L. Littman, Greg A. Keim, Noam M. Shazeer: Solving Crosswords with PROVERB. AAAI/IAAI 1999: 914-915
29 Giuseppe De Giacomo, Marie desJardins, Dolores Cañamero, Glenn S. Wasson, Michael L. Littman, Gerard Allwein, Kim Marriott, Bernd Meyer, Barbara Webb, Tom Con: The AAAI Fall Symposia. AI Magazine 20(3): 87-89 (1999)
28 Csaba Szepesvári, Michael L. Littman: A Unified Analysis of Value-Function-Based Reinforcement Learning Algorithms. Neural Computation 11(8): 2017-2060 (1999)
1998
27 Stephen M. Majercik, Michael L. Littman: Using Caching to Solve Larger Probabilistic Planning Problems. AAAI/IAAI 1998: 954-959
26 Stephen M. Majercik, Michael L. Littman: MAXPLAN: A New Approach to Probabilistic Planning. AIPS 1998: 86-93
25 Michael L. Littman, Fan Jiang, Greg A. Keim: Learning a Language-Independent Representation for Terms from a Partially Aligned Corpus. ICML 1998: 314-322
24EELeslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra: Planning and Acting in Partially Observable Stochastic Domains. Artif. Intell. 101(1-2): 99-134 (1998)
23EEMichael L. Littman, Judy Goldsmith, Martin Mundhenk: The Computational Complexity of Probabilistic Planning CoRR cs.AI/9808101: (1998)
22EEMichael L. Littman, Judy Goldsmith, Martin Mundhenk: The Computational Complexity of Probabilistic Planning. J. Artif. Intell. Res. (JAIR) 9: 1-36 (1998)
1997
21 Michael L. Littman: Probabilistic Propositional Planning: Representations and Complexity. AAAI/IAAI 1997: 748-754
20 Michael S. Fulkerson, Michael L. Littman, Greg A. Keim: Speeding Safely: Multi-Criteria Optimization in Probabilistic Planning. AAAI/IAAI 1997: 831
19EEBob Rehder, Michael L. Littman, Susan T. Dumais, Thomas K. Landauer: Automatic 3-Language Cross-Language Information Retrieval with Latent Semantic Indexing. TREC 1997: 233-239
18EEJudy Goldsmith, Michael L. Littman, Martin Mundhenk: The Complexity of Plan Existence and Evaluation in Probabilistic Domains. UAI 1997: 182-189
17EEAnthony R. Cassandra, Michael L. Littman, Nevin Lianwen Zhang: Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes. UAI 1997: 54-61
1996
16 Michael L. Littman, Csaba Szepesvári: A Generalized Reinforcement-Learning Model: Convergence and Applications. ICML 1996: 310-318
15EEEugene Charniak, Glenn Carroll, John Adcock, Anthony R. Cassandra, Yoshihiko Gotoh, Jeremy Katz, Michael L. Littman, John McCann: Taggers for Parsers. Artif. Intell. 85(1-2): 45-57 (1996)
14EELeslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore: Reinforcement Learning: A Survey CoRR cs.AI/9605103: (1996)
13 Leslie Pack Kaelbling, Michael L. Littman, Andrew P. Moore: Reinforcement Learning: A Survey. J. Artif. Intell. Res. (JAIR) 4: 237-285 (1996)
1995
12 Michael L. Littman, Anthony R. Cassandra, Leslie Pack Kaelbling: Learning Policies for Partially Observable Environments: Scaling Up. ICML 1995: 362-370
11 Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra: Partially Observable Markov Decision Processes for Artificial Intelligence. KI 1995: 1-17
10 Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra: Partially Observable Markov Decision Processes for Artificial Intelligence. Reasoning with Uncertainty in Robotics 1995: 146-163
9EEMichael L. Littman, Thomas Dean, Leslie Pack Kaelbling: On the Complexity of Solving Markov Decision Problems. UAI 1995: 394-402
1994
8 Anthony R. Cassandra, Leslie Pack Kaelbling, Michael L. Littman: Acting Optimally in Partially Observable Stochastic Domains. AAAI 1994: 1023-1028
7 Michael L. Littman: Markov Games as a Framework for Multi-Agent Reinforcement Learning. ICML 1994: 157-163
1993
6EERobert B. Allen, Pascal Obry, Michael L. Littman: An interface for navigating clustered document sets returned by queries. COOCS 1993: 166-171
5EEJustin A. Boyan, Michael L. Littman: Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach. NIPS 1993: 671-678
1992
4EELaurence Brothers, James D. Hollan, Jakob Neilsen, Scott Stornetta, Steven P. Abney, George W. Furnas, Michael L. Littman: Supporting Informal Communication via Ephemeral Interest Groups. CSCW 1992: 84-90
1991
3EEDennis E. Egan, Michael Lesk, R. Daniel Ketchum, Carol C. Lochbaum, Joel R. Remde, Michael L. Littman, Thomas K. Landauer: Hypertext for the Electronic Library? CORE Sample Results. Hypertext 1991: 299-312
2 Michael L. Littman, David H. Ackley: Adaptation in Constant Utility Non-Stationary Environments. ICGA 1991: 136-142
1989
1EEDavid H. Ackley, Michael L. Littman: Generalization and Scaling in Reinforcement Learning. NIPS 1989: 550-557

Coauthor Index

1Steven P. Abney [4]
2David H. Ackley [1] [2]
3John Adcock [15]
4Sushant Agarwal [31]
5Robert B. Allen [6]
6Gerard Allwein [29]
7Shlomo Argamon (Shlomo Argamon-Engelson, Sean P. Engelson) [81]
8John Asmuth [77] [112]
9Monica Babes [110]
10Benjamin Bell [67]
11Timothy W. Bickmore [81]
12Jeffrey Bigham [64] [69] [80]
13Léon Bottou [115]
14Justin A. Boyan [5] [37]
15Laurence Brothers [4]
16Emma Brunskill [102]
17Dolores Cañamero [29]
18Glenn Carroll [15]
19Anthony R. Cassandra [8] [10] [11] [12] [15] [17] [24]
20Nicholas L. Cassimatis [81]
21Eugene Charniak [15]
22Catherine M. Cheves [31]
23Andre Cohen [108]
24Tom Con [29]
25Enrique Munoz de Cote [103] [110]
26János Csirik [61]
27János A. Csirik [47] [58] [59] [60] [62]
28Nikhil Dandekar [85]
29Andrea Pohoreckyj Danyluk [115]
30Sanjoy Dasgupta [50]
31Randall Davis [81]
32Thomas Dean [9]
33Carlos Diuk [91] [98] [108]
34Shlomo Dubnov [81]
35Susan T. Dumais [19]
36Timothy Edmunds [99]
37Dennis E. Egan [3]
38Chris Eliasmith [81]
39Eitan Fenson [74] [75]
40Joseph Fitzgerald [31]
41Michael S. Fulkerson [20]
42George W. Furnas [4]
43Ross Gayler [81]
44Giuseppe De Giacomo [29]
45Judy Goldsmith [18] [22] [23]
46Michael A. Goodrich [67]
47Yoshihiko Gotoh [15]
48Amy R. Greenwald [83] [93] [94]
49Jason Grosland [31]
50Haym Hirsh [89]
51James D. Hollan (Jim Hollan) [4]
52Rich Howard [74] [75]
53Charles Lee Isbell Jr. (Charles L. Isbell) [67] [92] [101]
54Tommi Jaakkola [35]
55Fan Jiang [25] [31] [39]
56Nicholas K. Jong [70]
57Leslie Pack Kaelbling [8] [9] [10] [11] [12] [13] [14] [24]
58Pentti Kanerva [81]
59Jeremy Katz [15]
60Michael J. Kearns [45] [48] [49] [53]
61Greg A. Keim [20] [25] [30] [31] [34] [56]
62R. Daniel Ketchum [3]
63Michail G. Lagoudakis [38] [43] [46] [57]
64Thomas K. Landauer [3] [19]
65James A. Landay [81]
66John Langford [90]
67Bethany R. Leffler [82] [99] [102]
68Michael E. Lesk (Michael Lesk) [3]
69Simon D. Levy [81]
70Lihong Li [86] [87] [90] [96] [97] [102] [106] [107] [113] [114]
71Carol C. Lochbaum [3]
72Sean Luke [81]
73Stephen M. Majercik [26] [27] [33] [44] [66]
74Christopher R. Mansley [114]
75Kim Marriott [29]
76Michael Mateas [92]
77David A. McAllester [50] [58] [60] [62]
78Peter McBurney [67]
79John McCann [15]
80Chris Mesterharm [89]
81Bernd Meyer [29]
82Christopher A. Miller [67]
83Rob Miller (Robert C. Miller) [81]
84Andrew P. Moore [13]
85Andrew W. Moore [14]
86Martin Mundhenk [18] [22] [23]
87Preetham Mysore [85]
88Jakob Neilsen [4]
89Mark J. Nelson [92]
90Ali Nouri [97] [105] [113]
91Pascal Obry [6]
92Yukio Ohsawa [67]
93Christopher Painter-Wakefield [96] [106]
94David Pardoe [70]
95Ronald Parr [57] [96] [106]
96Simon Parsons [67]
97Toniann Pitassi [44]
98Shannon Pollard [31]
99Nishkam Ravi [74] [75] [85] [88]
100Bob Rehder [19]
101Paul S. A. Reitsma [59] [61]
102Joel R. Remde [3]
103David L. Roberts [92] [101]
104Nicholas Roy [102]
105Eugene Santos Jr. [67]
106Eric Saund [81]
107Robert E. Schapire [58] [60] [62]
108Jean Scholtz [67]
109Alan C. Schultz [67] [81]
110Noam M. Shazeer [30] [31] [34] [56]
111Jiefu Shi [41] [42]
112Victor Shnayder [64] [69] [80]
113Satinder P. Singh [35] [45] [47] [48] [49] [51] [53] [70] [81]
114Thomas F. Stahovich [81]
115Peter Stone [45] [47] [53] [54] [58] [59] [60] [61] [62] [70] [72] [78]
116Scott Stornetta [4]
117Alexander L. Strehl [73] [82] [84] [87] [89] [90] [91] [95] [98] [100]
118Richard S. Sutton [51]
119Csaba Szepesvári [16] [28] [35]
120Arjun Talwar [88]
121Gavin Taylor [106]
122Sebastian Thrun [36]
123Peter D. Turney [55] [63] [64] [65] [68] [69] [76] [79] [80]
124Thomas J. Walsh [82] [97] [107] [109] [111] [113]
125Glenn S. Wasson [29]
126Barbara Webb [29]
127Karl Weinmeister [31]
128David Weissman [77]
129Eric Wiewiora [90]
130Fusun Yaman [109]
131Håkan L. S. Younes [77]
132Nevin Lianwen Zhang [17]
133Martin Zinkevich [83] [88] [94]
134Robert Zinkov [112]
135Marie desJardins [29] [109]

Colors in the list of coauthors

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