LAUSR

Reputation effects in stochastic games with two long-lived players

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1 Published in 2020 at "Economic Theory"

DOI: 10.1007/s00199-020-01252-6

Abstract: This paper extends the reputation result of Evans and Thomas (Econometrica 65(5):1153–1173, 1997) to stochastic games. Specifically, I analyze reputation effects with two long-lived (but not equally long) players in stochastic games, that is, in… read more here.

Keywords: stochastic games; reputation effects; two long; effects stochastic ... See more keywords

Discontinuous stochastic games

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0 Published in 2021 at "Economic Theory"

DOI: 10.1007/s00199-021-01374-5

Abstract: We prove for a large class of stochastic games with discontinuous payoffs, a stationary Markov perfect equilibrium exists under the condition of “continuation payoff security.” This condition is easy to verify and holds in many… read more here.

Keywords: games discontinuous; discontinuous stochastic; stochastic games;

A Potential Reduction Algorithm for Two-Person Zero-Sum Mean Payoff Stochastic Games

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1 Published in 2018 at "Dynamic Games and Applications"

DOI: 10.1007/s13235-016-0199-x

Abstract: We suggest a new algorithm for two-person zero-sum undiscounted stochastic games focusing on stationary strategies. Given a positive real $$\varepsilon $$ε, let us call a stochastic game $$\varepsilon $$ε-ergodic, if its values from any two… read more here.

Keywords: game; varepsilon; stochastic games; stationary strategies ... See more keywords

Analyses of Tabular AlphaZero on Strongly-Solved Stochastic Games

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2 Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3246638

Abstract: The AlphaZero algorithm achieved superhuman levels of play in chess, shogi, and Go by learning without domain-specific knowledge except for game rules. This paper targets stochastic games and investigates whether AlphaZero can learn theoretical values… read more here.

Keywords: alphazero strongly; analyses tabular; alphazero; stochastic games ... See more keywords

Recursive Reasoning With Reduced Complexity and Intermittency for Nonequilibrium Learning in Stochastic Games.

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1 Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3151250

Abstract: In this article, we propose a computationally and communicationally efficient approach for decision-making in nonequilibrium stochastic games. In particular, due to the inherent complexity of computing Nash equilibria, as well as the innate tendency of… read more here.

Keywords: nonequilibrium; reasoning reduced; recursive reasoning; level ... See more keywords