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Approachable sets of vector payoffs in stochastic games

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  • Milman, Emanuel

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  • Milman, Emanuel, 2006. "Approachable sets of vector payoffs in stochastic games," Games and Economic Behavior, Elsevier, vol. 56(1), pages 135-147, July.
    • Handle: RePEc:eee:gamebe:v:56:y:2006:i:1:p:135-147
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    1. Emanuel Milman, 2002. "The Semi-Algebraic Theory of Stochastic Games," Mathematics of Operations Research, INFORMS, vol. 27(2), pages 401-418, May.
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    Cited by:

    1. Laraki, Rida & Sorin, Sylvain, 2015. "Advances in Zero-Sum Dynamic Games," Handbook of Game Theory with Economic Applications,, Elsevier.
    2. Fournier, Gaëtan & Kuperwasser, Eden & Munk, Orin & Solan, Eilon & Weinbaum, Avishay, 2021. "Approachability with constraints," European Journal of Operational Research, Elsevier, vol. 292(2), pages 687-695.
    3. Dileep Kalathil & Vivek S. Borkar & Rahul Jain, 2017. "Approachability in Stackelberg Stochastic Games with Vector Costs," Dynamic Games and Applications, Springer, vol. 7(3), pages 422-442, September.
    4. Flesch, János & Laraki, Rida & Perchet, Vianney, 2018. "Approachability of convex sets in generalized quitting games," Games and Economic Behavior, Elsevier, vol. 108(C), pages 411-431.
    5. Rad Niazadeh & Negin Golrezaei & Joshua Wang & Fransisca Susan & Ashwinkumar Badanidiyuru, 2023. "Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization," Management Science, INFORMS, vol. 69(7), pages 3797-3817, July.
    6. Andrey Bernstein & Shie Mannor & Nahum Shimkin, 2014. "Opportunistic Approachability and Generalized No-Regret Problems," Mathematics of Operations Research, INFORMS, vol. 39(4), pages 1057-1083, November.

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