2000 character limit reached
Markovian Embeddings for Coalitional Bargaining Games
Published 19 Jun 2023 in cs.MA, cs.GT, and cs.LG | (2306.11104v1)
Abstract: We examine the Markovian properties of coalition bargaining games, in particular, the case where past rejected proposals cannot be repeated. We propose a Markovian embedding with filtrations to render the sates Markovian and thus, fit into the framework of stochastic games.
- Negotiating team formation using deep reinforcement learning. 2020. doi: 10.48550/ARXIV.2010.10380.
- Computational Aspects of Cooperative Game Theory (Synthesis Lectures on Artificial Inetlligence and Machine Learning). 1st edition, 2011. ISBN 1608456528.
- A noncooperative theory of coalitional bargaining. The Review of Economic Studies, 60(2):463–477, 1993. ISSN 00346527, 1467937X. URL http://www.jstor.org/stable/2298067.
- Michael L. Littman. Markov games as a framework for multi-agent reinforcement learning. In William W. Cohen and Haym Hirsh (eds.), ICML, pp. 157–163. Morgan Kaufmann, 1994. ISBN 1-55860-335-2.
- John F. Nash. The bargaining problem. Econometrica, 18(2):155–162, 1950. ISSN 00129682, 14680262. URL http://www.jstor.org/stable/1907266.
- John F. Nash. Two-person cooperative games. Econometrica, 21(1):128–140, 1953. ISSN 00129682, 14680262. URL http://www.jstor.org/stable/1906951.
- Akira Okada. A noncooperative coalitional bargaining game with random proposers. Games and Economic Behavior, 16(1):97–108, 1996. URL https://EconPapers.repec.org/RePEc:eee:gamebe:v:16:y:1996:i:1:p:97-108.
- Ariel Rubinstein. Perfect equilibrium in a bargaining model. Econometrica, 50(1):97–109, 1982. ISSN 00129682, 14680262. URL http://www.jstor.org/stable/1912531.
- Lloyd Shapley. Stochastic games. Proceedings of the National Academy of Sciences, 39:1095–1100, 1953.
- An overview of multi-agent reinforcement learning from game theoretical perspective, 2020.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.