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Learning to Learn, Pattern Recognition, and
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The article was published on 1997-01-01 and is currently open access. It has received 2 citations till now. The article focuses on the topics: Discrimination learning & Pattern recognition (psychology).read more
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Learning to learn, pattern recognition, and Nash equilibrium
TL;DR: In this paper, a large class of bounded-rationality, probabilistic learning models on strategic-form games is studied and the main assumption is that players recognize cyclic patterns in the observed history of play.
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Observational and reinforcement pattern-learning: An exploratory study *
TL;DR: In this article, the authors propose a baseline reinforcement learning model that allows for pattern-recognition and change in the strategy space, and also analyse three augmented versions that accommodate observational learning from the actions and/or payoffs of another player.
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Equilibrium points in n-person games
TL;DR: A concept of an n -person game in which each player has a finite set of pure strategies and in which a definite set of payments to the n players corresponds to each n -tuple ofpure strategies, one strategy being taken for each player.
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A Course in Game Theory
TL;DR: A Course in Game Theory as discussed by the authors presents the main ideas of game theory at a level suitable for graduate students and advanced undergraduates, emphasizing the theory's foundations and interpretations of its basic concepts.
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A Course in Microeconomic Theory
TL;DR: This article developed a text in microeconomics that succeeds in being bothchallenging and user-friendly, designed for final-year undergraduate and graduate students of microeconomic theory, with numerous problem sets and exercises.
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Learning to learn
Sebastian Thrun,Lorien Pratt +1 more
TL;DR: This chapter discusses Reinforcement Learning with Self-Modifying Policies J. Schmidhuber, et al., and theoretical Models of Learning to Learn J. Baxter, a first step towards Continual Learning.