Gerald Tesauro
Impact in
- Artificial Intelligence top 0.5%
- Reinforcement Learning in Robotics
- Artificial Intelligence in Games
- Evolutionary Algorithms and Applications
- Topic Modeling
- Neural Networks and Applications
- Natural Language Processing Techniques
-
- Auction Theory and Applications
Papers in
-
- Auction Theory and Applications 15
- Advanced Bandit Algorithms Research 9
- Co-authors
- Jeffrey O. KephartRajarshi DasKilian Q. WeinbergerHoi ChanCharles LefurgyDavid LevineWilliam E. WalshJonathan Bredin
- Journals
- Neural Computation (4 papers)Machine Learning (3 papers)IEEE Internet Computing (1 paper)Artificial Intelligence (1 paper)Decision Support Systems (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Gerald Tesauro
71 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 2.1k
- Management Science and Operations Research 659
- Computer Networks and Communications 761
- Information Systems 551
- Marketing 162
Countries citing papers authored by Gerald Tesauro
This map shows the geographic impact of Gerald Tesauro's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gerald Tesauro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Tesauro more than expected).
Fields of papers citing papers by Gerald Tesauro
This network shows the impact of papers produced by Gerald Tesauro. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gerald Tesauro. The network helps show where Gerald Tesauro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerald Tesauro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 2 | |
| 2 | Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis | 2020 | 7 |
| 3 | Dialog-based Interactive Image Retrieval | 2018 | 23 |
| 4 | R 3 : Reinforced Ranker-Reader for Open-Domain Question Answering. | 2018 | 88 |
| 5 | 2012 | 1 | |
| 6 | Bayesian inference in Monte-Carlo tree search | 2010 | 7 |
| 7 | Active Collaborative Prediction with Maximum Margin Matrix Factorization. | 2008 | 11 |
| 8 | Metric Learning for Kernel Regression. | 2007 | 83 |
| 9 | Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning | 2007 | 77 |
| 10 | New approaches to optimization and utility elicitation in autonomic computing | 2005 | 15 |
| 11 | Online resource allocation using decompositional reinforcement learning | 2005 | 75 |
| 12 | 2004 | 124 | |
| 13 | Extending Q-Learning to General Adaptive Multi-Agent Systems | 2003 | 102 |
| 14 | Can neural networks do better than the Vapnik-Chervonenkis bounds? | 1990 | 15 |
| 15 | Asymptotic Convergence of Backpropagation: Numerical Experiments | 1989 | 5 |
| 16 | Connectionist Learning of Expert Preferences by Comparison Training | 1988 | 47 |
| 17 | Scaling relationships in back-propagation learning | 1988 | 64 |
| 18 | Scaling and Generalization in Neural Networks: A Case Study | 1988 | 43 |
| 19 | Scaling relationships in back-propagation learning: dependence on training set size | 1987 | 27 |
| 20 | A 'Neural' Network that Learns to Play Backgammon | 1987 | 18 |
About Gerald Tesauro
Gerald Tesauro is a scholar working on Management Science and Operations Research, Computational Mathematics, Artificial Intelligence, Computer Networks and Communications and Economics and Econometrics, having authored 71 papers that have together received 3.5k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (22 papers), Auction Theory and Applications (15 papers), Neural Networks and Applications (11 papers), Artificial Intelligence in Games (9 papers), Advanced Bandit Algorithms Research (9 papers), Economic theories and models (8 papers), Machine Learning and Algorithms (7 papers) and Topic Modeling (7 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Management Science and Operations Research (659 citations), Computer Networks and Communications (761 citations), Information Systems (551 citations) and Marketing (162 citations). Gerald Tesauro has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jeffrey O. Kephart, Rajarshi Das, Kilian Q. Weinberger, Hoi Chan, Charles Lefurgy, David Levine, William E. Walsh, Jonathan Bredin, Tim Klinger and Bob Janssens. Their work appears in journals such as Neural Computation, Machine Learning, IEEE Internet Computing, Artificial Intelligence and Decision Support Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.