| Temporal difference learning and TD-Gammon G Tesauro Communications of the ACM 38 (3), 58-68, 1995 | 2154 | 1995 |
| Practical issues in temporal difference learning G Tesauro Advances in neural information processing systems, 259-266, 1992 | 1283 | 1992 |
| TD-Gammon, a self-teaching backgammon program, achieves master-level play G Tesauro Neural computation 6 (2), 215-219, 1994 | 974 | 1994 |
| Utility functions in autonomic systems WE Walsh, G Tesauro, JO Kephart, R Das International Conference on Autonomic Computing, 2004. Proceedings., 70-77, 2004 | 540 | 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 | 373 | 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 | 330 | 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 | 322 | 2001 |
| On-line policy improvement using Monte-Carlo search G Tesauro, G Galperin Advances in Neural Information Processing Systems 9, 1068-1074, 1996 | 259 | 1996 |
| Programming backgammon using self-teaching neural nets G Tesauro Artificial Intelligence 134 (1-2), 181-199, 2002 | 245 | 2002 |
| Neural networks for computer virus recognition GJ Tesauro, JO Kephart, GB Sorkin IEEE expert 11 (4), 5-6, 1996 | 229 | 1996 |
| Extending Q-learning to general adaptive multi-agent systems G Tesauro Advances in neural information processing systems 16, 871-878, 2003 | 200 | 2003 |
| 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 | 195 | 2002 |
| A parallel network that learns to play backgammon G Tesauro, TJ Sejnowski Artificial Intelligence 39 (3), 357-390, 1989 | 188 | 1989 |
| 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 | 185 | 2007 |
| Biologically inspired defenses against computer viruses JO Kephart, GB Sorkin, WC Arnold, DM Chess, GJ Tesauro, SR White, ... IJCAI (1), 985-996, 1995 | 185 | 1995 |
| R: Reinforced Reader-Ranker for Open-Domain Question Answering S Wang, M Yu, X Guo, Z Wang, T Klinger, W Zhang, S Chang, G Tesauro, ... arXiv preprint arXiv:1709.00023, 2017 | 181 | 2017 |
| Reinforcement learning in autonomic computing: A manifesto and case studies G Tesauro IEEE Internet Computing 11 (1), 22-30, 2007 | 174 | 2007 |
| Multiresolution recurrent neural networks: An application to dialogue response generation IV Serban, T Klinger, G Tesauro, K Talamadupula, B Zhou, Y Bengio, ... arXiv preprint arXiv:1606.00776, 2016 | 168 | 2016 |
| High-performance bidding agents for the continuous double auction G Tesauro, R Das Proceedings of the 3rd ACM conference on Electronic Commerce, 206-209, 2001 | 168 | 2001 |
| Pricing in agent economies using multi-agent Q-learning G Tesauro, JO Kephart Autonomous agents and multi-agent systems 5 (3), 289-304, 2002 | 164 | 2002 |
