2026 Gerald Tesauro: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	56	3994	3881	1901	1834	127	16619

Research.com Recognitions

2018 - ACM Fellow For contributions to reinforcement learning, neural networks, and intelligent autonomous agents
2013 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to neural computation, game-playing (Backgammon, Chess and Jeopardy!), autonomic computing, and economic agents.

Overview

Gerald Tesauro is affiliated with IBM in the United States and contributes primarily to the field of computer science, with a focus on artificial intelligence. Their research extensively covers subfields including artificial intelligence, management science and operations research, computer networks and communications, safety research, and computational theory and mathematics.

The main topics that characterize Tesauro's work include reinforcement learning in robotics, advanced bandit algorithms research, topic modeling, natural language processing techniques, adversarial robustness in machine learning, optimization and search problems, and experimental behavioral economics studies.

Tesauro has published numerous papers in various venues, most notably in arXiv (Cornell University) and the Proceedings of the AAAI Conference on Artificial Intelligence. The venues with multiple publications by Tesauro include:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
2021 IEEE Conference on Games (CoG)

Among recent papers authored or coauthored by Tesauro are:

"On-line Policy Improvement using Monte-Carlo Search," 2025, arXiv (Cornell University)
"Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning," 2020, arXiv (Cornell University)
"Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines," 2020, arXiv (Cornell University)
"Context-Specific Representation Abstraction for Deep Option Learning," 2022, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators in Tesauro's research include Matthew Riemer, Dong Ki Kim, Jonathan P. How, Tyler Malloy, and Chris R. Sims. These coauthors have worked with Tesauro on multiple publications, establishing ongoing research partnerships.

Tesauro's contributions to the field have been recognized through awards such as the ACM Fellow distinction in 2018, citing contributions to reinforcement learning, neural networks, and intelligent autonomous agents. Additionally, Tesauro was named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2013 for work related to neural computation, game-playing including Backgammon, Chess, and Jeopardy!, autonomic computing, and economic agents.

Best Publications

Temporal difference learning and TD-Gammon

Gerald Tesauro

2772
Citations
Practical Issues in Temporal Difference Learning

Gerald Tesauro

1527
Citations
TD-Gammon, a self-teaching backgammon program, achieves master-level play

Gerald Tesauro

1207
Citations
Utility functions in autonomic systems

W.E. Walsh;G. Tesauro;J.O. Kephart;R. Das

619
Citations
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation

G. Tesauro;N.K. Jong;R. Das;M.N. Bennani

467
Citations
Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference

Matthew Riemer;Ignacio Cases;Robert Ajemian;Miao Liu

454
Citations
Agent-human interactions in the continuous double auction

Rajarshi Das;James E. Hanson;Jeffrey O. Kephart;Gerald Tesauro

362
Citations
A Multi-Agent Systems Approach to Autonomic Computing

Gerald Tesauro;David M. Chess;William E. Walsh;Rajarshi Das

361
Citations
On-line Policy Improvement using Monte-Carlo Search

Gerald Tesauro;Gregory R. Galperin

312
Citations
Programming backgammon using self-teaching neural nets

Gerald Tesauro

286
Citations
R 3 : Reinforced Ranker-Reader for Open-Domain Question Answering.

Shuohang Wang;Mo Yu;Xiaoxiao Guo;Zhiguo Wang

285
Citations
Method and apparatus for detecting a presence of a computer virus

Jeffrey Owen Kephart;Gregory Bret Sorkin;Gerald James Tesauro;Steven Richard White

258
Citations
Extending Q-Learning to General Adaptive Multi-Agent Systems

Gerald Tesauro

252
Citations
Neural networks for computer virus recognition

G.J. Tesauro;J.O. Kephart;G.B. Sorkin

252
Citations
Diverse Few-Shot Text Classification with Multiple Metrics

Mo Yu;Xiaoxiao Guo;Jinfeng Yi;Shiyu Chang

248
Citations
Reinforcement Learning in Autonomic Computing: A Manifesto and Case Studies

G. Tesauro

212
Citations
Analyzing Complex Strategic Interactions in Multi-Agent Systems

William E. Walsh;Rajarshi Das;Gerald Tesauro;Jeffrey O. Kephart

210
Citations
A parallel network that learns to play backgammon

G. Tesauro;J. J. Sejnowski

210
Citations
Coordinating Multiple Autonomic Managers to Achieve Specified Power-Performance Tradeoffs

J.O. Kephart;Hoi Chan;R. Das;D.W. Levine

203
Citations
Biologically inspired defenses against computer viruses

Jeffrey O. Kephart;Gregory B. Sorkin;William C. Arnold;David M. Chess

199
Citations
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation.

Iulian Vlad Serban;Tim Klinger;Gerald Tesauro;Kartik Talamadupula

196
Citations
Advances in Neural Information Processing Systems 7

G. Tesauro;D. Touretzky;T. Leen

124
Citations

Frequent Co-Authors

Jeffrey O. Kephart IBM (United States)

Mo Yu IBM (United States)

Shiyu Chang University of California, Santa Barbara

Bowen Zhou IBM (United States)

Jonathan P. How MIT

Kilian Q. Weinberger Cornell University

Jing Jiang Singapore Management University

Irina Rish University of Montreal

Yu Cheng Microsoft (United States)

Gregory B. Sorkin London School of Economics and Political Science

External Links

Personal website of Gerald Tesauro Google Scholar page

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