Essentials of Game Theory: A Concise Multidisciplinary Introduction

By Kevin Leyton-Brown, Yoav Shoham. Essentials of Game Theory: A Concise Multidisciplinary Introduction, 2008

524 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/48ead1334bf610a77f7be0df0529770498d60273

How researchers see this paper

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

In Management Science and Operations Research

1. Chris Amato
2. Peter Stone
3. Yann-Michaël De Hauwere
4. Marc Lanctot
5. Ann Nowé
6. Peter Vrancx
7. Yuxi Li
8. Todd W. Neller

In Sociology and Political Science

1. Thomas Hofmann
2. Peter Stone
3. Fei Wang
4. Sarit Kraus
5. Boi Faltings
6. Frans Adriaan Oliehoek
7. Marc Lanctot
8. Todd W. Neller

In Statistical and Nonlinear Physics

1. Chris Amato
2. Frans Adriaan Oliehoek
3. Aurélien Lucchi
4. Yuxi Li
5. Thomas Hofmann
6. Peter Stone
7. Fei Wang
8. Sarit Kraus

Citations in the corpus

• Deep Reinforcement Learning: An Overview (2017, background): “, 2013; Kuhn and Johnson, 2013; Murphy, 2012; Provost and Fawcett, 2013; Zhou, 2016) • artificial intelligence (Russell and Norvig, 2009) • natural language processing (NLP) (Goldberg, 2017; Deng and Liu, 2017) • semi-supervised learning (Zhu and Goldberg, 2009) • game theory (Leyton-Brown and Shoha”
• An Introduction to Counterfactual Regret Minimization (2013, methodology): “Here, we follow the notation and terminology of [12].”
• Game Theory and Multi-agent Reinforcement Learning (2012, background): “(Leyton-Brown and Shoham, 2008).”
• Local Saddle Point Optimization: A Curvature Exploitation Approach (2018, background): “This particular problem arises in many applications, such as generative adversarial networks (GAN) [15], robust optimization [4], and game theory [37, 23].”
• Decentralized Anti-coordination Through Multi-agent Learning (2013, background): “Leyton-Brown and Shoham (2008) give a more complete introduction to game theory.”
• A Concise Introduction to Decentralized POMDPs (2016, background): “8 Explanations of these concepts as well as other concepts in this section can be found in for example the texts by Binmore [1992], Osborne and Rubinstein [1994] and Leyton-Brown and Shoham [2008].”
• Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination (2010, background): “For example, aspects of ad hoc teamwork can be usefully studied within the framework of game theory (Leyton-Brown & Shoham 2008).”
• Sparse Feature Attacks in Adversarial Learning (2014, methodology): “Here we give an example of zero-sum game called Matching Pennies [18].”
• BM3D Frames and Variational Image Deblurring (2011, background): “In terms of the game theory the problem (33) can be interpreted as a game of two players identified, respectively, wit h two variablesy andω [19],[20].”