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Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries (1995)  (Make Corrections)  (15 citations)
Yoav Freund et al.
IEEE Symposium on Foundations of Computer Science



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Abstract: this paper, games are played by two players. One will be called the adversary and the other the strategy learning algorithm. We think of the adversary as a fixed resource-bounded computational mechanism that may be playing a strategy quite different from the minimax optimal strategy for the game. The strategy learning algorithm will be a polynomial-time algorithm attempting to learn, from repeated plays, a profitable strategy for playing against the adversary. As is typical, a game in our... (Update)

Context of citations to this paper:   More

.... design ( 4] provides an overview) or data driven adaptation of learning algorithms (especially in work on game learning, cf. e.g. [5]) is employed to yield the desired behaviour. In our work, we followed a different approach. We investigated the possibilities of...

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BibTeX entry:   (Update)

Y. Freund, M. Kearns, Y. Mansour, D. Ron, R. Rubinfeld, and R. Schapire. Efficient algorithms for learning to play repeated games against computationally bounded adversaries. In Proceedings of the Thirty Seventh Annual Symposium on Foundations of Computer Science, pages 332--341, 1996. http://citeseer.ist.psu.edu/article/freund95efficient.html   More

@inproceedings{ freund95efficient,
    author = "Yoav Freund and Michael J. Kearns and Yishay Mansour and Dana Ron and Ronitt Rubinfeld and Robert E. Schapire",
    title = "Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries",
    booktitle = "{IEEE} Symposium on Foundations of Computer Science",
    pages = "332-341",
    year = "1995",
    url = "citeseer.ist.psu.edu/article/freund95efficient.html" }
Citations (may not include all citations):
109   Inference of finite automata using homing sequences (context) - Rivest, Schapire - 1993
84   Learning when irrelevant attributes abound: A new linear-thr.. (context) - Littlestone - 1988
46   Inferring finite automata with stochastic output functions a.. - Dean, Angluin et al. - 1995
29   The complexity of Markov decision processes (context) - Papadimitriou, Tsitsiklis - 1987
13   Bounded complexity justifies cooperation in the finitely rep.. (context) - Neyman - 1985
13   Bounded rationality and strategic complexity in repeated gam.. (context) - Kalai - 1990
12   Bounded versus unbounded rationality: The tyranny of the wea.. (context) - Gilboa, Samet - 1989
11   Learning fallible finite state automata (context) - Ron, Rubinfeld - 1995
6   Exactly learning automata with small cover time - Ron, Rubinfeld - 1995
5   On complexity as bounded rationality (context) - Papadimitriou, Yannakakis - 1994
1   An optimal-control application of two paradigms of on-line l.. (context) - Vovk - 1994
1   Optimality anddomination in repeated games with boundedplaye.. (context) - DukeWhang - 1994



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