Gerald Tesauro

118 papers A* 28A 7B 2C 1Misc 2Journal 50Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On-line Policy Improvement using Monte-Carlo Search. CoRR Gerald Tesauro, Gregory R. Galperin
2023	J	`jnl`	Learning in Factored Domains with Information-Constrained Visual Representations. CoRR Tyler Malloy, Miao Liu, Matthew D. Riemer, Tim Klinger, Gerald Tesauro, Chris R. Sims
2022	J	`jnl`	AI Planning Annotation for Sample Efficient Reinforcement Learning. CoRR Junkyu Lee, Michael Katz, Don Joven Agravante, Miao Liu, Tim Klinger, Murray Campbell, Shirin Sohrabi, Gerald Tesauro
2022	A*	`conf`	Context-Specific Representation Abstraction for Deep Option Learning. AAAI Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How
2022	J	`jnl`	Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria. CoRR Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Gerald Tesauro, Jonathan P. How
2022	A*	`conf`	Influencing Long-Term Behavior in Multiagent Reinforcement Learning. NeurIPS Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
2022	J	`jnl`	Influencing Long-Term Behavior in Multiagent Reinforcement Learning. CoRR Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
2021	A*	`conf`	A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. ICML Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
2021	C	`conf`	Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games. CoG Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
2021	J	`jnl`	Context-Specific Representation Abstraction for Deep Option Learning. CoRR Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How
2021	A*	`conf`	Efficient Black-Box Planning Using Macro-Actions with Focused Effects. IJCAI Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
2021	B	`conf`	Modeling Capacity-Limited Decision Making Using a Variational Autoencoder. CogSci Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims
2021	A*	`conf`	RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract). AAAI Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims
2021	A*	`conf`	Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. AAAI Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
2020	J	`jnl`	A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. CoRR Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
2020	J	`jnl`	Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games. CoRR Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris R. Sims
2020	A*	`conf`	Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis. NeurIPS Gang Wang, Songtao Lu, Georgios B. Giannakis, Gerald Tesauro, Jian Sun
2020	J	`jnl`	Deep RL With Information Constrained Policies: Generalization in Continuous Control. CoRR Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
2020	J	`jnl`	Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic. CoRR Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
2020	A	`conf`	Learning Hierarchical Teaching Policies for Cooperative Agents. AAMAS Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
2020	A*	`conf`	On the Role of Weight Sharing During Deep Option Learning. AAAI Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro
2020	J	`jnl`	Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. CoRR Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
2019	A*	`conf`	Hybrid Reinforcement Learning with Expert State Sequences. AAAI Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
2019	J	`jnl`	Hybrid Reinforcement Learning with Expert State Sequences. CoRR Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell
2019	J	`jnl`	Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning. CoRR Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
2019	—	`conf`	Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference. ICLR (Poster) Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro
2019	A*	`conf`	Learning to Teach in Cooperative Multiagent Reinforcement Learning. AAAI Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
2019	J	`jnl`	On the Role of Weight Sharing During Deep Option Learning. CoRR Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro
2018	A*	`conf`	Dialog-based Interactive Image Retrieval. NeurIPS Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, Rogério Schmidt Feris
2018	—	`conf`	Diverse Few-Shot Text Classification with Multiple Metrics. NAACL-HLT Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2018	J	`jnl`	Diverse Few-Shot Text Classification with Multiple Metrics. CoRR Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2018	—	`conf`	Eigenoption Discovery through the Deep Successor Representation. ICLR (Poster) Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell
2018	—	`conf`	Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. ICLR (Poster) Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
2018	J	`jnl`	Introduction to the special issue on deep reinforcement learning: An editorial. Neural Networks Ron Sun, David Silver, Gerald Tesauro, Guang-Bin Huang
2018	A*	`conf`	Learning Abstract Options. NeurIPS Matthew Riemer, Miao Liu, Gerald Tesauro
2018	J	`jnl`	Learning Abstract Options. CoRR Matthew Riemer, Miao Liu, Gerald Tesauro
2018	J	`jnl`	Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference. CoRR Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro
2018	J	`jnl`	Learning to Teach in Cooperative Multiagent Reinforcement Learning. CoRR Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
2017	J	`jnl`	Cognitive Computing. IEEE Intell. Syst. Mohan Sridharan, Gerald Tesauro, James A. Hendler
2017	J	`jnl`	Eigenoption Discovery through the Deep Successor Representation. CoRR Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell
2017	J	`jnl`	Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. CoRR Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
2017	A*	`conf`	Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. AAAI Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville
2017	A*	`conf`	Optimal Sequential Drilling for Hydrocarbon Field Development Planning. AAAI Ruben Rodriguez Torrado, Jesus Rios, Gerald Tesauro
2017	J	`jnl`	R CoRR Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang
2017	J	`jnl`	Robust Task Clustering for Deep Many-Task Learning. CoRR Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2017	J	`jnl`	The Eigenoption-Critic Framework. CoRR Miao Liu, Marlos C. Machado, Gerald Tesauro, Murray Campbell
2016	J	`jnl`	Hierarchical Memory Networks. CoRR Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio
2016	J	`jnl`	Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. CoRR Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville
2016	A*	`conf`	Selecting Near-Optimal Learners via Incremental Data Allocation. AAAI Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro
2016	J	`jnl`	Selecting Near-Optimal Learners via Incremental Data Allocation. CoRR Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro
2015	A*	`conf`	Budgeted Prediction with Expert Advice. AAAI Kareem Amin, Satyen Kale, Gerald Tesauro, Deepak S. Turaga
2015	J	`jnl`	Reports of the AAAI 2014 Conference Workshops. AI Mag. 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
2015	A*	`conf`	Towards Cognitive Automation of Data Science. AAAI 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
2014	J	`jnl`	Analysis of Watson's Strategies for Playing Jeopardy! CoRR Gerald Tesauro, David Gondek, Jonathan Lenchner, James Fan, John M. Prager
2012	Misc	`conf`	Applying a framework for healthcare incentives simulation. WSC Joseph P. Bigus, Ching-Hua Chen-Ritzo, Keith Hermiz, Gerald Tesauro, Robert Sorrentino
2012	J	`jnl`	Bayesian Inference in Monte-Carlo Tree Search CoRR Gerald Tesauro, V. T. Rajan, Richard B. Segal
2012	J	`jnl`	Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation CoRR Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh
2012	A	`conf`	Playing repeated Stackelberg games with unknown opponents. AAMAS Janusz Marecki, Gerald Tesauro, Richard B. Segal
2010	A	`conf`	Bayesian Inference in Monte-Carlo Tree Search. UAI Gerald Tesauro, V. T. Rajan, Richard B. Segal
2009	A*	`conf`	Monte-Carlo simulation balancing. ICML David Silver, Gerald Tesauro
2008	Misc	`conf`	Active Collaborative Prediction with Maximum Margin Matrix Factorization. ISAIM Irina Rish, Gerald Tesauro
2008	—	`conf`	Autonomic multi-agent management of power and performance in data centers. AAMAS (Industry Track) Rajarshi Das, Jeffrey O. Kephart, Charles Lefurgy, Gerald Tesauro, David W. Levine, Hoi Y. Chan
2007	—	`conf`	Coordinating Multiple Autonomic Managers to Achieve Specified Power-Performance Tradeoffs. ICAC Jeffrey O. Kephart, Hoi Y. Chan, Rajarshi Das, David W. Levine, Gerald Tesauro, Freeman L. Rawson III, Charles Lefurgy
2007	—	`conf`	Estimating End-to-End Performance by Collaborative Prediction with Active Sampling. Integrated Network Management Irina Rish, Gerald Tesauro
2007	—	`conf`	Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning. NIPS Gerald Tesauro, Rajarshi Das, Hoi Y. Chan, Jeffrey O. Kephart, David W. Levine, Freeman L. Rawson III, Charles Lefurgy
2007	A	`conf`	Metric Learning for Kernel Regression. AISTATS Kilian Q. Weinberger, Gerald Tesauro
2007	J	`jnl`	On the use of hybrid reinforcement learning for autonomic resource allocation. Clust. Comput. Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani
2007	J	`jnl`	Reinforcement Learning in Autonomic Computing: A Manifesto and Case Studies. IEEE Internet Comput. Gerald Tesauro
2006	—	`conf`	A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation. ICAC Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani
2006	—	`conf`	Improvement of Systems Management Policies Using Hybrid Reinforcement Learning. ECML Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani
2005	A*	`conf`	New Approaches to Optimization and Utility Elicitation in Autonomic Computing. AAAI Relu Patrascu, Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh
2005	A*	`conf`	Online Resource Allocation Using Decompositional Reinforcement Learning. AAAI Gerald Tesauro
2005	—	`conf`	Utility-Function-Driven Resource Allocation in Autonomic Systems. ICAC Gerald Tesauro, Rajarshi Das, William E. Walsh, Jeffrey O. Kephart
2004	A	`conf`	A Multi-Agent Systems Approach to Autonomic Computing. AAMAS Gerald Tesauro, David M. Chess, William E. Walsh, Rajarshi Das, Alla Segal, Ian Whalley, Jeffrey O. Kephart, Steve R. White
2004	—	`conf`	Utility Functions in Autonomic Systems. ICAC William E. Walsh, Gerald Tesauro, Jeffrey O. Kephart, Rajarshi Das
2003	A*	`conf`	A strategic decision model for multi-attribute bilateral negotiation with alternating. EC Cuihong Li, Gerald Tesauro
2003	A	`conf`	Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation. UAI Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh
2003	—	`conf`	Extending Q-Learning to General Adaptive Multi-Agent Systems. NIPS Gerald Tesauro
2003	A*	`conf`	Multi-agent implementation of asymmetric protocol for bilateral negotiations. EC James E. Hanson, Gerald Tesauro, Jeffrey O. Kephart, E. C. Snibl
2002	J	`jnl`	Pricing in Agent Economies Using Multi-Agent Q-Learning. Auton. Agents Multi Agent Syst. Gerald Tesauro, Jeffrey O. Kephart
2002	J	`jnl`	Programming backgammon using self-teaching neural nets. Artif. Intell. Gerald Tesauro
2002	A	`conf`	Strategic sequential bidding in auctions using dynamic programming. AAMAS Gerald Tesauro, Jonathan Bredin
2001	A*	`conf`	Agent-Human Interactions in the Continuous Double Auction. IJCAI Rajarshi Das, James E. Hanson, Jeffrey O. Kephart, Gerald Tesauro
2001	A*	`conf`	High-performance bidding agents for the continuous double auction. EC Gerald Tesauro, Rajarshi Das
2001	—	`conf`	Pricing in Agent Economies Using Neural Networks and Multi-agent Q-Learning. Sequence Learning Gerald Tesauro
2000	J	`jnl`	Foresight-based pricing algorithms in agent economies. Decis. Support Syst. Gerald Tesauro, Jeffrey O. Kephart
2000	—	`conf`	Multi-Agent Q-Learning and Regression Trees for Automated Pricing Decisions. ICMAS Manu Sridharan, Gerald Tesauro
2000	A*	`conf`	Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions. ICML Manu Sridharan, Gerald Tesauro
2000	A*	`conf`	Pseudo-convergent Q-Learning by Competitive Pricebots. ICML Jeffrey O. Kephart, Gerald Tesauro
1999	A*	`conf`	Strategic pricebot dynamics. EC Amy Greenwald, Jeffrey O. Kephart, Gerald Tesauro
1998	J	`jnl`	Comments on "Co-Evolution in the Successful Learning of Backgammon Strategy". Mach. Learn. Gerald Tesauro
1998	—	`conf`	Foresight-based pricing algorithms in an economy of software agents. ICE Gerald Tesauro, Jeffrey O. Kephart
1996	—	`conf`	On-line Policy Improvement using Monte-Carlo Search. NIPS Gerald Tesauro, Gregory R. Galperin
1995	—	`ed.`	Advances in Neural Information Processing Systems 7, [NIPS Conference, Denver, Colorado, USA, 1994] NIPS Gerald Tesauro, David S. Touretzky, Todd K. Leen
1995	A*	`conf`	Biologically Inspired Defenses Against Computer Viruses. IJCAI (1) Jeffrey O. Kephart, Gregory B. Sorkin, William C. Arnold, David M. Chess, Gerald Tesauro, Steve R. White
1995	J	`jnl`	Temporal Difference Learning and TD-Gammon. Commun. ACM Gerald Tesauro
1995	J	`jnl`	Temporal Difference Learning and TD-Gammon. ICCA J. Gerald Tesauro
1994	—	`ed.`	Advances in Neural Information Processing Systems 6, [7th NIPS Conference, Denver, Colorado, USA, 1993] NIPS Jack D. Cowan, Gerald Tesauro, Joshua Alspector
1994	J	`jnl`	TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play. Neural Comput. Gerald Tesauro
1992	J	`jnl`	How Tight Are the Vapnik-Chervonenkis Bounds? Neural Comput. David A. Cohn, Gerald Tesauro
1992	J	`jnl`	Practical Issues in Temporal Difference Learning. Mach. Learn. Gerald Tesauro
1992	—	`conf`	Temporal Difference Learning of Backgammon Strategy. ML Gerald Tesauro
1991	—	`conf`	Practical Issues in Temporal Difference Learning. NIPS Gerald Tesauro
1991	J	`jnl`	Visualizing processes in neural networks. IBM J. Res. Dev. Jakub Wejchert, Gerald Tesauro
1990	—	`conf`	Can Neural Networks Do Better Than the Vapnik-Chervonenkis Bounds? NIPS David A. Cohn, Gerald Tesauro
1990	B	`conf`	Neurogammon: a neural-network backgammon program. IJCNN Gerald Tesauro
1989	J	`jnl`	A Parallel Network that Learns to Play Backgammon. Artif. Intell. Gerald Tesauro, Terrence J. Sejnowski
1989	J	`jnl`	Asymptotic Convergence of Backpropagation. Neural Comput. Gerald Tesauro, Yu He, Subutai Ahmad
1989	—	`conf`	Asymptotic Convergence of Backpropagation: Numerical Experiments. NIPS Subutai Ahmad, Gerald Tesauro, Yu He
1989	—	`conf`	Neural Network Visualization. NIPS Jakub Wejchert, Gerald Tesauro
1989	J	`jnl`	Neurogammon Wins Computer Olympiad. Neural Comput. Gerald Tesauro
1988	J	`jnl`	A study of scaling and generalization in neural networks. Neural Networks Subutai Ahmad, Gerald Tesauro
1988	—	`conf`	Connectionist Learning of Expert Backgammon Evaluations. ML Gerald Tesauro
1988	—	`conf`	Connectionist Learning of Expert Preferences by Comparison Training. NIPS Gerald Tesauro
1988	J	`jnl`	Scaling Relationships in Back-propagation Learning. Complex Syst. Gerald Tesauro, Bob Janssens
1988	—	`conf`	Scaling and Generalization in Neural Networks: A Case Study. NIPS Subutai Ahmad, Gerald Tesauro
1987	—	`conf`	A 'Neural' Network that Learns to Play Backgammon. NIPS Gerald Tesauro, Terrence J. Sejnowski
1987	J	`jnl`	Scaling Relationships in Back-Propagation Learning: Dependence on Training Set Size. Complex Syst. Gerald Tesauro