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- Publications
- Influence
Temporal difference learning and TD-Gammon
- G. Tesauro
- Computer Science
- CACM
- 1 March 1995
Ever since the days of Shannon's proposal for a chess-playing algorithm [12] and Samuel's checkers-learning program [10] the domain of complex board games such as Go, chess, checkers, Othello, and… Expand
Practical Issues in Temporal Difference Learning
- G. Tesauro
- 1992
This paper examines whether temporal difference methods for training connectionist networks, such as Sutton's TD(λ) algorithm, can be successfully applied to complex real-world problems. A number of… Expand
TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
- G. Tesauro
- Computer Science
- Neural Computation
- 1 March 1994
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results, based on the TD() reinforcement learning algorithm… Expand
Agent-Human Interactions in the Continuous Double Auction
- R. Das, J. Hanson, J. Kephart, G. Tesauro
- Computer Science
- IJCAI
- 4 August 2001
The Continuous Double Auction (CDA) is the dominant market institution for real-world trading of equities, commodities, derivatives, etc. We describe a series of laboratory experiments that, for the… Expand
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Temporal Difference Learning and TD-Gammon
- G. Tesauro
- Computer Science
- J. Int. Comput. Games Assoc.
- 1995
We provide an abstract, selectively u§ing the author's formulations: "The article presents a game-learning program called TD-GAMMON. TD-GAMMON is a neural network that trains itself to be an… Expand
R3: Reinforced Ranker-Reader for Open-Domain Question Answering
- Shuohang Wang, Mo Yu, +7 authors Jing Jiang
- Computer Science
- AAAI
- 7 February 2018
In recent years researchers have achieved considerable success applying neural network methods to question answering (QA). These approaches have achieved state of the art results in simplified… Expand
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation
- I. Serban, Tim Klinger, +4 authors Aaron C. Courville
- Computer Science, Mathematics
- AAAI
- 1 June 2016
We introduce the multiresolution recurrent neural network, which extends the sequence-to-sequence framework to model natural language generation as two parallel discrete stochastic processes: a… Expand
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
- Shuohang Wang, Mo Yu, +7 authors Murray Campbell
- Computer Science
- ICLR
- 14 November 2017
A popular recent approach to answering open-domain questions is to first search for question-related passages and then apply reading comprehension models to extract answers. Existing methods usually… Expand
Utility functions in autonomic systems
- W. Walsh, G. Tesauro, J. Kephart, R. Das
- Computer Science
- International Conference on Autonomic Computing…
- 2004
Utility functions provide a natural and advantageous framework for achieving self-optimization in distributed autonomic computing systems. We present a distributed architecture, implemented in a… Expand
Analyzing Complex Strategic Interactions in Multi-Agent Systems
- W. Walsh, R. Das, G. Tesauro, J. Kephart
- Economics
- 2002
We develop a model for analyzing complex games with repeated interactions, for which a full game-theoretic analysis is intractable. Our approach treats exogenously specified, heuristic strategies,… Expand