Temporal difference learning and TD-Gammon G Tesauro Communications of the ACM 38 (3), 58-68, 1995 | 3123 | 1995 |
Practical issues in temporal difference learning G Tesauro Advances in neural information processing systems 4, 1991 | 1477 | 1991 |
TD-Gammon, a self-teaching backgammon program, achieves master-level play G Tesauro Neural computation 6 (2), 215-219, 1994 | 1349 | 1994 |
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 | 847 | 2018 |
Utility functions in autonomic systems WE Walsh, G Tesauro, JO Kephart, R Das International Conference on Autonomic Computing, 2004. Proceedings., 70-77, 2004 | 620 | 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 | 486 | 2006 |
R3: Reinforced Ranker-Reader for Open-Domain Question Answering S Wang, M Yu, X Guo, Z Wang, T Klinger, W Zhang, S Chang, G Tesauro, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 401 | 2018 |
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 | 382 | 2001 |
On-line policy improvement using Monte-Carlo search G Tesauro, G Galperin Advances in neural information processing systems 9, 1996 | 373 | 1996 |
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 | 365 | 2004 |
Programming backgammon using self-teaching neural nets G Tesauro Artificial Intelligence 134 (1-2), 181-199, 2002 | 315 | 2002 |
Diverse few-shot text classification with multiple metrics M Yu, X Guo, J Yi, S Chang, S Potdar, Y Cheng, G Tesauro, H Wang, ... arXiv preprint arXiv:1805.07513, 2018 | 303 | 2018 |
Extending Q-learning to general adaptive multi-agent systems G Tesauro Advances in neural information processing systems 16, 2003 | 303 | 2003 |
Neural networks for computer virus recognition GJ Tesauro, JO Kephart, GB Sorkin IEEE expert 11 (4), 5-6, 1996 | 265 | 1996 |
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 | 249 | 2017 |
Metric learning for kernel regression KQ Weinberger, G Tesauro Artificial intelligence and statistics, 612-619, 2007 | 232 | 2007 |
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 | 228 | 2002 |
Biologically inspired defenses against computer viruses JO Kephart, GB Sorkin, WC Arnold, DM Chess, GJ Tesauro, SR White, ... IJCAI (1), 985-996, 1995 | 225 | 1995 |
Pricing in agent economies using multi-agent Q-learning G Tesauro, JO Kephart Autonomous agents and multi-agent systems 5, 289-304, 2002 | 219 | 2002 |
Reinforcement learning in autonomic computing: A manifesto and case studies G Tesauro IEEE Internet Computing 11 (1), 22-30, 2007 | 209 | 2007 |