Gerald Tesauro

	2009
48		David Silver, Gerald Tesauro: Monte-Carlo simulation balancing. ICML 2009: 119
	2008
47		Rajarshi Das, Jeffrey O. Kephart, Charles Lefurgy, Gerald Tesauro, David W. Levine, Hoi Chan: Autonomic multi-agent management of power and performance in data centers. AAMAS (Industry Track) 2008: 107-114
	2007
46		Jeffrey O. Kephart, Hoi Chan, Rajarshi Das, David W. Levine, Gerald Tesauro, Freeman L. Rawson III, Charles Lefurgy: Coordinating Multiple Autonomic Managers to Achieve Specified Power-Performance Tradeoffs. ICAC 2007: 24
45		Irina Rish, Gerald Tesauro: Estimating End-to-End Performance by Collaborative Prediction with Active Sampling. Integrated Network Management 2007: 294-303
44		Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey O. Kephart, David Levine, Freeman L. Rawson III, Charles Lefurgy: Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning. NIPS 2007
43		Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani: On the use of hybrid reinforcement learning for autonomic resource allocation. Cluster Computing 10(3): 287-299 (2007)
42		Gerald Tesauro: Reinforcement Learning in Autonomic Computing: A Manifesto and Case Studies. IEEE Internet Computing 11(1): 22-30 (2007)
	2006
41		Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani: Improvement of Systems Management Policies Using Hybrid Reinforcement Learning. ECML 2006: 783-791
	2005
40		Relu Patrascu, Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh: New Approaches to Optimization and Utility Elicitation in Autonomic Computing. AAAI 2005: 140-145
39		Gerald Tesauro: Online Resource Allocation Using Decompositional Reinforcement Learning. AAAI 2005: 886-891
38		Gerald Tesauro, Rajarshi Das, William E. Walsh, Jeffrey O. Kephart: Utility-Function-Driven Resource Allocation in Autonomic Systems. ICAC 2005: 342-343
	2004
37		Gerald Tesauro, David M. Chess, William E. Walsh, Rajarshi Das, Alla Segal, Ian Whalley, Jeffrey O. Kephart, Steve R. White: A Multi-Agent Systems Approach to Autonomic Computing. AAMAS 2004: 464-471
36		William E. Walsh, Gerald Tesauro, Jeffrey O. Kephart, Rajarshi Das: Utility Functions in Autonomic Systems. ICAC 2004: 70-77
	2003
35		Cuihong Li, Gerald Tesauro: A strategic decision model for multi-attribute bilateral negotiation with alternating. ACM Conference on Electronic Commerce 2003: 208-209
34		James E. Hanson, Gerald Tesauro, Jeffrey O. Kephart, E. C. Snibl: Multi-agent implementation of asymmetric protocol for bilateral negotiations. ACM Conference on Electronic Commerce 2003: 224-225
33		Gerald Tesauro: Extending Q-Learning to General Adaptive Multi-Agent Systems. NIPS 2003
32		Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh: Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation. UAI 2003: 89-97
	2002
31		Gerald Tesauro, Jonathan Bredin: Strategic sequential bidding in auctions using dynamic programming. AAMAS 2002: 591-598
30		Gerald Tesauro: Programming backgammon using self-teaching neural nets. Artif. Intell. 134(1-2): 181-199 (2002)
29		Gerald Tesauro, Jeffrey O. Kephart: Pricing in Agent Economies Using Multi-Agent Q-Learning. Autonomous Agents and Multi-Agent Systems 5(3): 289-304 (2002)
	2001
28		Gerald Tesauro, Rajarshi Das: High-performance bidding agents for the continuous double auction. ACM Conference on Electronic Commerce 2001: 206-209
27		Rajarshi Das, James E. Hanson, Jeffrey O. Kephart, Gerald Tesauro: Agent-Human Interactions in the Continuous Double Auction. IJCAI 2001: 1169-1187
26		Gerald Tesauro: Pricing in Agent Economies Using Neural Networks and Multi-agent Q-Learning. Sequence Learning 2001: 288-307
	2000
25		Manu Sridharan, Gerald Tesauro: Multi-Agent Q-Learning and Regression Trees for Automated Pricing Decisions. ICMAS 2000: 447-448
24		Jeffrey O. Kephart, Gerald Tesauro: Pseudo-convergent Q-Learning by Competitive Pricebots. ICML 2000: 463-470
23		Manu Sridharan, Gerald Tesauro: Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions. ICML 2000: 927-934
22		Gerald Tesauro, Jeffrey O. Kephart: Foresight-based pricing algorithms in agent economies. Decision Support Systems 28(1-2): 49-60 (2000)
	1999
21		Amy R. Greenwald, Jeffrey O. Kephart, Gerald Tesauro: Strategic pricebot dynamics. ACM Conference on Electronic Commerce 1999: 58-67
	1998
20		Gerald Tesauro: Comments on ``Co-Evolution in the Successful Learning of Backgammon Strategy''. Machine Learning 32(3): 241-243 (1998)
	1996
19		Gerald Tesauro, Gregory R. Galperin: On-line Policy Improvement using Monte-Carlo Search. NIPS 1996: 1068-1074
	1995
18		Gerald Tesauro, David S. Touretzky, Todd K. Leen: Advances in Neural Information Processing Systems 7, [NIPS Conference, Denver, Colorado, USA, 1994] MIT Press 1995
17		Jeffrey O. Kephart, Gregory B. Sorkin, William C. Arnold, David M. Chess, Gerald Tesauro, Steve R. White: Biologically Inspired Defenses Against Computer Viruses. IJCAI (1) 1995: 985-996
16		Gerald Tesauro: Temporal Difference Learning and TD-Gammon. Commun. ACM 38(3): 58-68 (1995)
	1994
15		Jack D. Cowan, Gerald Tesauro, Joshua Alspector: Advances in Neural Information Processing Systems 6, [7th NIPS Conference, Denver, Colorado, USA, 1993] Morgan Kaufmann 1994
14		Gerald Tesauro: TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play. Neural Computation 6(2): 215-219 (1994)
	1992
13		Gerald Tesauro: Temporal Difference Learning of Backgammon Strategy. ML 1992: 451-457
12		Gerald Tesauro: Practical Issues in Temporal Difference Learning. Machine Learning 8: 257-277 (1992)
11		David A. Cohn, Gerald Tesauro: How Tight Are the Vapnik-Chervonenkis Bounds? Neural Computation 4(2): 249-269 (1992)
	1991
10		Gerald Tesauro: Practical Issues in Temporal Difference Learning. NIPS 1991: 259-266
9		Jakub Wejchert, Gerald Tesauro: Visualizing processes in neural networks. IBM Journal of Research and Development 35(1): 244-253 (1991)
	1990
8		David A. Cohn, Gerald Tesauro: Can Neural Networks Do Better Than the Vapnik-Chervonenkis Bounds? NIPS 1990: 911-917
	1989
7		Jakub Wejchert, Gerald Tesauro: Neural Network Visualization. NIPS 1989: 465-472
6		Subutai Ahmad, Gerald Tesauro, Yu He: Asymptotic Convergence of Backpropagation: Numerical Experiments. NIPS 1989: 606-613
5		Gerald Tesauro, Terrence J. Sejnowski: A Parallel Network that Learns to Play Backgammon. Artif. Intell. 39(3): 357-390 (1989)
	1988
4		Gerald Tesauro: Connectionist Learning of Expert Backgammon Evaluations. ML 1988: 200-206
3		Subutai Ahmad, Gerald Tesauro: Scaling and Generalization in Neural Networks: A Case Study. NIPS 1988: 160-168
2		Gerald Tesauro: Connectionist Learning of Expert Preferences by Comparison Training. NIPS 1988: 99-106
	1987
1		Gerald Tesauro, Terrence J. Sejnowski: A 'Neural' Network that Learns to Play Backgammon. NIPS 1987: 794-803

Coauthor Index

1	Subutai Ahmad	[3] [6]
2	Joshua Alspector	[15]
3	William C. Arnold	[17]
4	Mohamed N. Bennani	[41] [43]
5	Craig Boutilier	[32] [40]
6	Jonathan Bredin	[31]
7	Hoi Chan	[44] [46] [47]
8	David M. Chess	[17] [37]
9	David A. Cohn	[8] [11]
10	Jack D. Cowan	[15]
11	Rajarshi Das	[27] [28] [32] [36] [37] [38] [40] [41] [43] [44] [46] [47]
12	Gregory R. Galperin	[19]
13	Amy R. Greenwald	[21]
14	James E. Hanson	[27] [34]
15	Yu He	[6]
16	Nicholas K. Jong	[41] [43]
17	Jeffrey O. Kephart	[17] [21] [22] [24] [27] [29] [32] [34] [36] [37] [38] [40] [44] [46] [47]
18	Todd K. Leen	[18]
19	Charles Lefurgy	[44] [46] [47]
20	David Levine	[44]
21	David W. Levine	[46] [47]
22	Cuihong Li	[35]
23	Relu Patrascu	[40]
24	Freeman L. Rawson III	[44] [46]
25	Irina Rish	[45]
26	Alla Segal	[37]
27	Terrence J. Sejnowski	[1] [5]
28	David Silver	[48]
29	E. C. Snibl	[34]
30	Gregory B. Sorkin	[17]
31	Manu Sridharan	[23] [25]
32	David S. Touretzky	[18]
33	William E. Walsh	[32] [36] [37] [38] [40]
34	Jakub Wejchert	[7] [9]
35	Ian Whalley	[37]
36	Steve R. White	[17] [37]

Colors in the list of coauthors