Gerald James Tesauro
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Gerald James Tesaurocomputer-science Degrees
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Computer Science
Gerald James Tesauro's Degrees
- PhD Computer Science University of Massachusetts Amherst
- Masters Computer Science University of Massachusetts Amherst
- Bachelors Computer Science University of Massachusetts Amherst
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(Suggest an Edit or Addition)Gerald James Tesauro's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Temporal difference learning and TD-Gammon (1995) (1946)
- TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play (1994) (894)
- Practical issues in temporal difference learning (1992) (699)
- Utility functions in autonomic systems (2004) (472)
- Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference (2018) (444)
- A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation (2006) (372)
- Agent-Human Interactions in the Continuous Double Auction (2001) (280)
- On-line Policy Improvement using Monte-Carlo Search (1996) (256)
- A multi-agent systems approach to autonomic computing (2004) (251)
- Extending Q-Learning to General Adaptive Multi-Agent Systems (2003) (220)
- Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation (2016) (185)
- Coordinating Multiple Autonomic Managers to Achieve Specified Power-Performance Tradeoffs (2007) (182)
- Analyzing Complex Strategic Interactions in Multi-Agent Systems (2002) (180)
- R3: Reinforced Ranker-Reader for Open-Domain Question Answering (2018) (179)
- Programming backgammon using self-teaching neural nets (2002) (176)
- Diverse Few-Shot Text Classification with Multiple Metrics (2018) (175)
- A Parallel Network that Learns to Play Backgammon (1989) (170)
- Neural networks for computer virus recognition (1996) (165)
- Pricing in Agent Economies Using Multi-Agent Q-Learning (2002) (162)
- Metric Learning for Kernel Regression (2007) (161)
- High-performance bidding agents for the continuous double auction (2001) (151)
- Reinforcement Learning in Autonomic Computing: A Manifesto and Case Studies (2007) (149)
- Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering (2017) (147)
- Biologically Inspired Defenses Against Computer Viruses (1995) (143)
- Autonomic multi-agent management of power and performance in data centers (2008) (136)
- Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning (2007) (131)
- Strategic sequential bidding in auctions using dynamic programming (2002) (126)
- On the use of hybrid reinforcement learning for autonomic resource allocation (2007) (123)
- TD-Gammon: A Self-Teaching Backgammon Program (1995) (120)
- Scaling Relationships in Back-propagation Learning (1988) (115)
- Online Resource Allocation Using Decompositional Reinforcement Learning (2005) (115)
- Eigenoption Discovery through the Deep Successor Representation (2017) (110)
- Monte-Carlo simulation balancing (2009) (104)
- Utility-Function-Driven Resource Allocation in Autonomic Systems (2005) (101)
- The Hebb Rule for Synaptic Plasticity: Algorithms and Implementations (1989) (100)
- Neurogammon Wins Computer Olympiad (1989) (100)
- Connectionist Learning of Expert Preferences by Comparison Training (1988) (99)
- Strategic pricebot dynamics (1999) (97)
- Learning to Teach in Cooperative Multiagent Reinforcement Learning (2018) (93)
- AUTOMATICALLY GENERATED WIN32 HEURISTIC VIRUS DETECTION (2000) (73)
- Neurogammon: a neural-network backgammon program (1990) (73)
- Playing repeated Stackelberg games with unknown opponents (2012) (72)
- Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation (2002) (72)
- How Tight Are the Vapnik-Chervonenkis Bounds? (1992) (69)
- Scaling and Generalization in Neural Networks: A Case Study (1988) (68)
- Hierarchical Memory Networks (2016) (67)
- Reinforcement learning in board games (2004) (67)
- R3: Reinforced Reader-Ranker for Open-Domain Question Answering (2017) (65)
- Learning Abstract Options (2018) (60)
- Temporal Difference Learning of Backgammon Strategy (1992) (57)
- Selecting Near-Optimal Learners via Incremental Data Allocation (2015) (56)
- Pricing in Agent Economies Using Neural Networks and Multi-agent Q-Learning (2001) (50)
- Asymptotic Convergence of Backpropagation (1989) (44)
- Multi-agent Q-learning and regression trees for automated pricing decisions (2000) (44)
- Scaling Relationships in Back-Propagation Learning: Dependence on Training Set Size (1987) (40)
- A 'Neural' Network that Learns to Play Backgammon (1987) (38)
- Bayesian Inference in Monte-Carlo Tree Search (2010) (36)
- Foresight-based pricing algorithms in an economy of software agents (1998) (35)
- Analysis of Watson's Strategies for Playing Jeopardy! (2013) (34)
- Olfactory Processing and Associative Memory: Cellular and Modeling Studies (1989) (29)
- Practical Issues in Temporal Difference Learning (1991) (29)
- Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines (2020) (28)
- Pseudo-convergent Q-Learning by Competitive Pricebots (2000) (28)
- A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning (2020) (27)
- Can Neural Networks Do Better Than the Vapnik-Chervonenkis Bounds? (1990) (27)
- Visualizing processes in neural networks (1991) (26)
- A study of scaling and generalization in neural networks (1988) (26)
- Comparison training of chess evaluation functions (2001) (26)
- Neural Network Visualization (1989) (25)
- A strategic decision model for multi-attribute bilateral negotiation with alternating (2003) (25)
- Hybrid Reinforcement Learning with Expert State Sequences (2019) (23)
- Simple neural models of classical conditioning (1986) (23)
- Advances in neural information processing systems : proceedings of the ... conference (1989) (22)
- Budgeted Prediction with Expert Advice (2015) (22)
- Learning to Query, Reason, and Answer Questions On Ambiguous Texts (2016) (22)
- Model-Based and Model-Free Approaches to Autonomic Resource Allocation (2005) (21)
- New Approaches to Optimization and Utility Elicitation in Autonomic Computing (2005) (21)
- Simulation, learning, and optimization techniques in Watson's game strategies (2012) (19)
- Foresight-based pricing algorithms in agent economies (2000) (19)
- Learning Hierarchical Teaching Policies for Cooperative Agents (2019) (19)
- Active Collaborative Prediction with Maximum Margin Matrix Factorization (2008) (18)
- Efficient search techniques for multi-attribute bilateral negotiation strategies (2002) (15)
- Asymptotic Convergence of Backpropagation: Numerical Experiments (1989) (14)
- The Eigenoption-Critic Framework (2017) (13)
- Comments on “Co-Evolution in the Successful Learning of Backgammon Strategy” (1998) (13)
- Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis (2020) (13)
- A plausible neural circuit for classical conditioning without synaptic plasticity. (1988) (12)
- Towards Cognitive Automation of Data Science (2015) (12)
- Estimating End-to-End Performance by Collaborative Prediction with Active Sampling (2007) (12)
- Neural models of classical conditioning: A theoretical viewpoint. (1990) (10)
- Building network learning algorithms from Hebbian synapses (1990) (10)
- On the Role of Weight Sharing During Deep Option Learning (2019) (9)
- Multi-agent implementation of asymmetric protocol for bilateral negotiations (extended abstract) (2003) (8)
- Online Performance Management Using Hybrid Reinforcement Learning (2005) (7)
- Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning (2019) (7)
- Optimal Sequential Drilling for Hydrocarbon Field Development Planning (2017) (6)
- Connectionist Learning of Expert Backgammon Evaluations (1988) (6)
- Context-Specific Representation Abstraction for Deep Option Learning (2021) (4)
- Influencing Long-Term Behavior in Multiagent Reinforcement Learning (2022) (4)
- Deep RL With Information Constrained Policies: Generalization in Continuous Control (2020) (4)
- Statistical Approaches to Question Answering in Watson (2012) (3)
- Introduction to the special issue on deep reinforcement learning: An editorial (2018) (3)
- Efficient Black-Box Planning Using Macro-Actions with Focused Effects (2020) (2)
- Proceedings of the 6th International Conference on Neural Information Processing Systems (1993) (2)
- Reports of the AAAI 2014 Conference Workshops (2015) (2)
- Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games (2021) (2)
- AI Planning Annotation in Reinforcement Learning: Options and Beyond (2021) (2)
- Improvement of Systems Management Policies Using Hybrid Reinforcement Learning (2006) (2)
- Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic (2020) (1)
- Robust Task Clustering for Deep Many-Task Learning (2017) (1)
- Proceedings of the 7th International Conference on Neural Information Processing Systems (1994) (1)
- Applying a framework for healthcare incentives simulation (2012) (1)
- Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games (2020) (0)
- Cognitive Computing (2017) (0)
- Learning in Factored Domains with Information-Constrained Visual Representations (2023) (0)
- Former NASA chief unveils $ 100 million neural chip maker KnuEdge (2016) (0)
- MONTE-CARLO BACKGAMMON (2007) (0)
- A Parallel Network Play Backgammon that Learns to (1989) (0)
- The 3rd Advanced Chess match (León, June 2-5, 2000) (2000) (0)
- RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract) (2021) (0)
- AI Planning Annotation for Sample Efficient Reinforcement Learning (2022) (0)
- Institutional Knowledge at Singapore Management University Evidence aggregation for answer re-ranking in open-domain question answering (2019) (0)
- Advances in Neural Information Processing Systems 6, [7th NIPS Conference, Denver, Colorado, USA, 1993] (1994) (0)
- Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria (2022) (0)
- FORGETTING BY MAXIMIZING TRANSFER AND MINIMIZING INTERFERENCE (2018) (0)
- Vc Dimension Further Information 3.3 Optimization Algorithms 3 Learning from Data (1996) (0)
- Institutional Knowledge at Singapore Management University R3: Reinforced Ranker-Reader for open-domain Question Answering (2019) (0)
- Scaling R elationships in Backpropagation Learning (2006) (0)
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