Computing correlated equilibria in multi-player games

By Christos H. Papadimitriou. Symposium on the Theory of Computing, 2005

349 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/a1143ee30e652360234a1bb37c5d48ab46d34a05

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. David Feil-Seifer
2. Zhuoran Yang
3. Hung Manh La
4. Huy Xuan Pham
5. Luan Van Nguyen
6. Zhaoran Wang

In Management Science and Operations Research

1. Zhaoran Wang
2. Zhuoran Yang
3. Qiaomin Xie
4. Yudong Chen
5. David Feil-Seifer
6. Hung Manh La
7. Huy Xuan Pham
8. Luan Van Nguyen

Citations in the corpus

• Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium (2020, background): “In contrast to NE, a CCE can be found efficiently even for general-sum games (Papadimitriou and Roughgarden, 2008).”
• Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage (2018, methodology): “From the general problem of finding CE in game theory [32], we formulate a LP to help find the stable action for each agent as follows: subject to: (4) Here, P i ( a k ) is the probability of UAV i selecting action a at time k , and A − i denotes the rest of the actions of other agents.”