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Dynamic unstructured bargaining with private information : theory, experiment, and outcome prediction via machine learning

Camerer, Colin; Nave, Gideon; Smith, Alec - In: Management science : journal of the Institute for … 65 (2019) 4, pp. 1867-1890

Persistent link: https://www.econbiz.de/10012022675

Learning equilibrium in bilateral bargaining games

Bichler, Martin; Kohring, Nils; Oberlechner, Matthias; … - In: European journal of operational research : EJOR 311 (2023) 2, pp. 660-678

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Deep Q-learning for Nash equilibria : Nash-DQN

Casgrain, Philippe; Ning, Brian; Jaimungal, Sebastian - In: Applied mathematical finance 29 (2022) 1, pp. 62-78

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V-learning : a simple, efficient, decentralized algorithm for multiagent reinforcement learning

Jin, Chi; Liu, Qinghua; Wang, Yuanhao; Yu, Tiancheng - In: Mathematics of operations research 49 (2024) 4, pp. 2295-2322

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Chapter 61 Implementation theory

Palfrey, Thomas R. - In: Handbook of game theory with economic applications : …, (pp. 2271-2326). 2002

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Chapter 5 Implementation theory

Maskin, Eric; Sjöström, Tomas - In: Handbook of social choice and welfare : volume 1, (pp. 237-288). 2002

The implementation problem is the problem of designing a mechanism (game form) such that the equilibrium outcomes satisfy a criterion of social optimality embodied in a social choice rule. If a mechanism has the property that, in each possible state of the world, the set of equilibrium outcomes...

Persistent link: https://www.econbiz.de/10014023838