Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems
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Published By Springer International Publishing

9783319654782, 9783319654799

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Logit Dynamics in Potential Games with Memoryless Players

Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems ◽

10.1007/978-3-319-65479-9_3 ◽

2017 ◽

pp. 27-91

Author(s):

Tatiana Tatarenko

Keyword(s):

Potential Games ◽

Logit Dynamics

Conclusion

Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems ◽

10.1007/978-3-319-65479-9_5 ◽

2017 ◽

pp. 157-158

Author(s):

Tatiana Tatarenko

Stochastic Methods in Distributed Optimization and Game-Theoretic Learning

Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems ◽

10.1007/978-3-319-65479-9_4 ◽

2017 ◽

pp. 93-155

Author(s):

Tatiana Tatarenko

Keyword(s):

Distributed Optimization ◽

Stochastic Methods ◽

Game Theoretic

Introduction

Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems ◽

10.1007/978-3-319-65479-9_1 ◽

2017 ◽

pp. 1-5

Author(s):

Tatiana Tatarenko

Game Theory and Multi-Agent Optimization

Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems ◽

10.1007/978-3-319-65479-9_2 ◽

2017 ◽

pp. 7-26

Author(s):

Tatiana Tatarenko

Keyword(s):

Game Theory ◽

Multi Agent