Gerald Tesauro
Gerald Tesauro
IBM Research
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Cited by
Cited by
Temporal difference learning and TD-Gammon
G Tesauro
Communications of the ACM 38 (3), 58-68, 1995
Practical issues in temporal difference learning
G Tesauro
Machine learning 8 (3), 257-277, 1992
TD-Gammon, a self-teaching backgammon program, achieves master-level play
G Tesauro
Neural computation 6 (2), 215-219, 1994
Utility functions in autonomic systems
WE Walsh, G Tesauro, JO Kephart, R Das
International Conference on Autonomic Computing, 2004. Proceedings., 70-77, 2004
A hybrid reinforcement learning approach to autonomic resource allocation
G Tesauro, NK Jong, R Das, MN Bennani
2006 IEEE International Conference on Autonomic Computing, 65-73, 2006
A multi-agent systems approach to autonomic computing
G Tesauro, DM Chess, WE Walsh, R Das, A Segal, I Whalley, JO Kephart, ...
Proceedings of the Third International Joint Conference on Autonomous Agents …, 2004
Agent-human interactions in the continuous double auction
R Das, JE Hanson, JO Kephart, G Tesauro
International joint conference on artificial intelligence 17 (1), 1169-1178, 2001
On-line policy improvement using Monte-Carlo search
G Tesauro, G Galperin
Advances in Neural Information Processing Systems 9, 1068-1074, 1996
R 3: Reinforced ranker-reader for open-domain question answering
S Wang, M Yu, X Guo, Z Wang, T Klinger, W Zhang, S Chang, G Tesauro, ...
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Programming backgammon using self-teaching neural nets
G Tesauro
Artificial Intelligence 134 (1-2), 181-199, 2002
Learning to learn without forgetting by maximizing transfer and minimizing interference
M Riemer, I Cases, R Ajemian, M Liu, I Rish, Y Tu, G Tesauro
arXiv preprint arXiv:1810.11910, 2018
Extending Q-learning to general adaptive multi-agent systems
G Tesauro
Advances in neural information processing systems 16, 871-878, 2003
Neural networks for computer virus recognition
GJ Tesauro, JO Kephart, GB Sorkin
IEEE expert 11 (4), 5-6, 1996
Advances in neural information processing systems
GE Hinton, RS Zemel, J Cowan, G Tesauro, J Alspector
MIT Press 6, 3-10, 1994
A parallel network that learns to play backgammon
G Tesauro, TJ Sejnowski
Artificial Intelligence 39 (3), 357-390, 1989
Analyzing complex strategic interactions in multi-agent systems
WE Walsh, R Das, G Tesauro, JO Kephart
AAAI-02 Workshop on Game-Theoretic and Decision-Theoretic Agents, 109-118, 2002
Reinforcement learning in autonomic computing: A manifesto and case studies
G Tesauro
IEEE Internet Computing 11 (1), 22-30, 2007
Multiresolution recurrent neural networks: An application to dialogue response generation
I Serban, T Klinger, G Tesauro, K Talamadupula, B Zhou, Y Bengio, ...
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Coordinating multiple autonomic managers to achieve specified power-performance tradeoffs
JO Kephart, H Chan, R Das, DW Levine, G Tesauro, F Rawson, C Lefurgy
Fourth International Conference on Autonomic Computing (ICAC'07), 24-24, 2007
Biologically inspired defenses against computer viruses
JO Kephart, GB Sorkin, WC Arnold, DM Chess, GJ Tesauro, SR White, ...
IJCAI (1), 985-996, 1995
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