Gerald Tesauro

According to our database, Gerald Tesauro authored at least 99 papers between 1987 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Learning in Factored Domains with Information-Constrained Visual Representations.

Tyler Malloy, Miao Liu, Matthew D. Riemer, Tim Klinger, Gerald Tesauro, Chris R. Sims

CoRR, 2023

2022

Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria.

Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Gerald Tesauro, Jonathan P. How

CoRR, 2022

AI Planning Annotation for Sample Efficient Reinforcement Learning.

Junkyu Lee, Michael Katz, Don Joven Agravante, Miao Liu, Tim Klinger, Murray Campbell, Shirin Sohrabi, Gerald Tesauro

CoRR, 2022

Influencing Long-Term Behavior in Multiagent Reinforcement Learning.

Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Context-Specific Representation Abstraction for Deep Option Learning.

Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Efficient Black-Box Planning Using Macro-Actions with Focused Effects.

Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning.

Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How

Proceedings of the 38th International Conference on Machine Learning, 2021

Modeling Capacity-Limited Decision Making Using a Variational Autoencoder.

Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games.

Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines.

Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract).

Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games.

Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris R. Sims

CoRR, 2020

Deep RL With Information Constrained Policies: Generalization in Continuous Control.

Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro

CoRR, 2020

Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic.

Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro

CoRR, 2020

Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis.

Gang Wang, Songtao Lu, Georgios B. Giannakis, Gerald Tesauro, Jian Sun

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Hierarchical Teaching Policies for Cooperative Agents.

Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

On the Role of Weight Sharing During Deep Option Learning.

Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning.

Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How

CoRR, 2019

Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference.

Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Teach in Cooperative Multiagent Reinforcement Learning.

Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Hybrid Reinforcement Learning with Expert State Sequences.

Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Introduction to the special issue on deep reinforcement learning: An editorial.

Ron Sun, David Silver, Gerald Tesauro, Guang-Bin Huang

Neural Networks, 2018

Learning Abstract Options.

Matthew Riemer, Miao Liu, Gerald Tesauro

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dialog-based Interactive Image Retrieval.

Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, Rogério Schmidt Feris

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Diverse Few-Shot Text Classification with Multiple Metrics.

Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering.

Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell

Proceedings of the 6th International Conference on Learning Representations, 2018

Eigenoption Discovery through the Deep Successor Representation.

Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell

Proceedings of the 6th International Conference on Learning Representations, 2018

R³: Reinforced Ranker-Reader for Open-Domain Question Answering.

Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Cognitive Computing.

Mohan Sridharan, Gerald Tesauro, James A. Hendler

IEEE Intell. Syst., 2017

The Eigenoption-Critic Framework.

Miao Liu, Marlos C. Machado, Gerald Tesauro, Murray Campbell

CoRR, 2017

R³: Reinforced Reader-Ranker for Open-Domain Question Answering.

Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang

CoRR, 2017

Robust Task Clustering for Deep Many-Task Learning.

Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou

CoRR, 2017

Learning to Query, Reason, and Answer Questions On Ambiguous Texts.

Xiaoxiao Guo, Tim Klinger, Clemens Rosenbaum, Joseph P. Bigus, Murray Campbell, Ban Kawas, Kartik Talamadupula, Gerry Tesauro, Satinder Singh

Proceedings of the 5th International Conference on Learning Representations, 2017

Optimal Sequential Drilling for Hydrocarbon Field Development Planning.

Ruben Rodriguez Torrado, Jesus Rios, Gerald Tesauro

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

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

Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Hierarchical Memory Networks.

Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio

CoRR, 2016

Selecting Near-Optimal Learners via Incremental Data Allocation.

Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Reports of the AAAI 2014 Conference Workshops.

Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang

AI Mag., 2015

Towards Cognitive Automation of Data Science.

Alain Biem, Maria Butrico, Mark Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton Riabov, Horst Samulowitz, Daby M. Sow, Gerald Tesauro, Deepak S. Turaga

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Budgeted Prediction with Expert Advice.

Kareem Amin, Satyen Kale, Gerald Tesauro, Deepak S. Turaga

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Analysis of Watson's Strategies for Playing Jeopardy!

Gerry Tesauro, David Gondek, Jonathan Lenchner, James Fan, John M. Prager

J. Artif. Intell. Res., 2013

2012

Simulation, learning, and optimization techniques in Watson's game strategies.

Gerry Tesauro, David Gondek, Jon Lenchner, James Fan, John M. Prager

IBM J. Res. Dev., 2012

Applying a framework for healthcare incentives simulation.

Joseph P. Bigus, Ching-Hua Chen-Ritzo, Keith Hermiz, Gerald Tesauro, Robert Sorrentino

Proceedings of the Winter Simulation Conference, 2012

Playing repeated Stackelberg games with unknown opponents.

Janusz Marecki, Gerald Tesauro, Richard B. Segal

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2010

Bayesian Inference in Monte-Carlo Tree Search.

Gerald Tesauro, V. T. Rajan, Richard B. Segal

Proceedings of the UAI 2010, 2010

2009

Monte-Carlo simulation balancing.

David Silver, Gerald Tesauro

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Active Collaborative Prediction with Maximum Margin Matrix Factorization.

Irina Rish, Gerald Tesauro

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Autonomic multi-agent management of power and performance in data centers.

Rajarshi Das, Jeffrey O. Kephart, Charles Lefurgy, Gerald Tesauro, David W. Levine, Hoi Y. Chan

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007

Metric Learning for Kernel Regression.

Kilian Q. Weinberger, Gerald Tesauro

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Reinforcement Learning in Autonomic Computing: A Manifesto and Case Studies.

Gerald Tesauro

IEEE Internet Comput., 2007

On the use of hybrid reinforcement learning for autonomic resource allocation.

Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani

Clust. Comput., 2007

Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning.

Gerald Tesauro, Rajarshi Das, Hoi Y. Chan, Jeffrey O. Kephart, David W. Levine, Freeman L. Rawson III, Charles Lefurgy

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Estimating End-to-End Performance by Collaborative Prediction with Active Sampling.

Irina Rish, Gerald Tesauro

Proceedings of the Integrated Network Management, 2007

Coordinating Multiple Autonomic Managers to Achieve Specified Power-Performance Tradeoffs.

Jeffrey O. Kephart, Hoi Y. Chan, Rajarshi Das, David W. Levine, Gerald Tesauro, Freeman L. Rawson III, Charles Lefurgy

Proceedings of the Fourth International Conference on Autonomic Computing (ICAC'07), 2007

2006

A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation.

Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani

Proceedings of the 3rd International Conference on Autonomic Computing, 2006

Improvement of Systems Management Policies Using Hybrid Reinforcement Learning.

Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Utility-Function-Driven Resource Allocation in Autonomic Systems.

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

Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), 2005

Online Resource Allocation Using Decompositional Reinforcement Learning.

Gerald Tesauro

Proceedings of the Proceedings, 2005

New Approaches to Optimization and Utility Elicitation in Autonomic Computing.

Relu Patrascu, Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh

Proceedings of the Proceedings, 2005

2004

Utility Functions in Autonomic Systems.

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

Proceedings of the 1st International Conference on Autonomic Computing (ICAC 2004), 2004

A Multi-Agent Systems Approach to Autonomic Computing.

Gerald Tesauro, David M. Chess, William E. Walsh, Rajarshi Das, Alla Segal, Ian Whalley, Jeffrey O. Kephart, Steve R. White

Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003

Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation.

Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh

Proceedings of the UAI '03, 2003

A strategic decision model for multi-attribute bilateral negotiation with alternating.

Cuihong Li, Gerald Tesauro

Proceedings of the Proceedings 4th ACM Conference on Electronic Commerce (EC-2003), 2003

Multi-agent implementation of asymmetric protocol for bilateral negotiations.

James E. Hanson, Gerald Tesauro, Jeffrey O. Kephart, E. C. Snibl

Proceedings of the Proceedings 4th ACM Conference on Electronic Commerce (EC-2003), 2003

Extending Q-Learning to General Adaptive Multi-Agent Systems.

Gerald Tesauro

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Programming backgammon using self-teaching neural nets.

Gerald Tesauro

Artif. Intell., 2002

Pricing in Agent Economies Using Multi-Agent Q-Learning.

Gerald Tesauro, Jeffrey O. Kephart

Auton. Agents Multi Agent Syst., 2002

Strategic sequential bidding in auctions using dynamic programming.

Gerald Tesauro, Jonathan Bredin

Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

2001

High-performance bidding agents for the continuous double auction.

Gerald Tesauro, Rajarshi Das

Proceedings of the Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), 2001

Pricing in Agent Economies Using Neural Networks and Multi-agent Q-Learning.

Gerald Tesauro

Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

Agent-Human Interactions in the Continuous Double Auction.

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

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

Foresight-based pricing algorithms in agent economies.

Gerald Tesauro, Jeffrey O. Kephart

Decis. Support Syst., 2000

Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions.

Manu Sridharan, Gerald Tesauro

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Pseudo-convergent Q-Learning by Competitive Pricebots.

Jeffrey O. Kephart, Gerald Tesauro

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Strategic pricebot dynamics.

Amy Greenwald, Jeffrey O. Kephart, Gerald Tesauro

Proceedings of the First ACM Conference on Electronic Commerce (EC-99), 1999

1998

Comments on "Co-Evolution in the Successful Learning of Backgammon Strategy".

Gerald Tesauro

Mach. Learn., 1998

Foresight-based pricing algorithms in an economy of software agents.

Gerald Tesauro, Jeffrey O. Kephart

Proceedings of the First International Conference on Information and Computation Economies, 1998

1996

On-line Policy Improvement using Monte-Carlo Search.

Gerald Tesauro, Gregory R. Galperin

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995

Temporal Difference Learning and TD-Gammon.

Gerald Tesauro

J. Int. Comput. Games Assoc., 1995

Biologically Inspired Defenses Against Computer Viruses.

Jeffrey O. Kephart, Gregory B. Sorkin, William C. Arnold, David M. Chess, Gerald Tesauro, Steve R. White

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994

TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play.

Gerald Tesauro

Neural Comput., 1994

1992

How Tight Are the Vapnik-Chervonenkis Bounds?

David A. Cohn, Gerald Tesauro

Neural Comput., 1992

Practical Issues in Temporal Difference Learning.

Gerald Tesauro

Mach. Learn., 1992

Temporal Difference Learning of Backgammon Strategy.

Gerald Tesauro

Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

1991

Visualizing processes in neural networks.

Jakub Wejchert, Gerald Tesauro

IBM J. Res. Dev., 1991

1990

Can Neural Networks Do Better Than the Vapnik-Chervonenkis Bounds?

David A. Cohn, Gerald Tesauro

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Neurogammon: a neural-network backgammon program.

Gerald Tesauro

Proceedings of the IJCNN 1990, 1990

1989

Asymptotic Convergence of Backpropagation.

Gerald Tesauro, Yu He, Subutai Ahmad

Neural Comput., 1989

Neurogammon Wins Computer Olympiad.

Gerald Tesauro

Neural Comput., 1989

A Parallel Network that Learns to Play Backgammon.

Gerald Tesauro, Terrence J. Sejnowski

Artif. Intell., 1989

Neural Network Visualization.

Jakub Wejchert, Gerald Tesauro

Proceedings of the Advances in Neural Information Processing Systems 2, 1989

Asymptotic Convergence of Backpropagation: Numerical Experiments.

Subutai Ahmad, Gerald Tesauro, Yu He

Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1988

A study of scaling and generalization in neural networks.

Subutai Ahmad, Gerald Tesauro

Neural Networks, 1988

Scaling Relationships in Back-propagation Learning.

Gerald Tesauro, Bob Janssens

Complex Syst., 1988

Connectionist Learning of Expert Preferences by Comparison Training.

Gerald Tesauro

Proceedings of the Advances in Neural Information Processing Systems 1, 1988

Scaling and Generalization in Neural Networks: A Case Study.

Subutai Ahmad, Gerald Tesauro

Proceedings of the Advances in Neural Information Processing Systems 1, 1988

Connectionist Learning of Expert Backgammon Evaluations.

Gerald Tesauro

Proceedings of the Machine Learning, 1988

1987

Scaling Relationships in Back-Propagation Learning: Dependence on Training Set Size.

Gerald Tesauro

Complex Syst., 1987

A 'Neural' Network that Learns to Play Backgammon.

Gerald Tesauro, Terrence J. Sejnowski

Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987