Nash equilibrium or nash bargaining? choosing a solution concept for multi-agent learning (original) (raw)

Learning to cooperate in multi-agent social dilemmas

Enrique Munoz de Cote

Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems - AAMAS '06, 2006

View PDFchevron_right

Satisficing Multi-Agent Learning: A Simple But Powerful Algorithm

Michael Goodrich

2013

View PDFchevron_right

Reaching pareto-optimality in prisoner’s dilemma using conditional joint action learning

Dipyaman Banerjee, Sandip Sen

Autonomous Agents and Multi-Agent Systems, 2007

View PDFchevron_right

Software Agents for Learning Nash Equilibria in Non-Cooperative Games

Alfredo Garro

informatik.rwth-aachen.de

View PDFchevron_right

Modeling Learning and Cooperation in Iterative Games

Vineet Dixit

SIAM Undergraduate Research Online, 2013

View PDFchevron_right

New criteria and a new algorithm for learning in multi-agent systems

Rob Powers

… in neural information processing systems, 2005

View PDFchevron_right

If multi-agent learning is the answer, what is the question?

Rob Powers

Artificial Intelligence, 2007

View PDFchevron_right

Learning and Adaption in Multi-Agent Systems

Sandip Sen

Lecture Notes in Computer Science, 2006

View PDFchevron_right

A general criterion and an algorithmic framework for learning in multi-agent systems

Rob Powers

Machine Learning, 2007

View PDFchevron_right

Learning Cooperation In Repeated Games

Michael Rovatsos

1999

View PDFchevron_right

Learning other Agents' Preferences in Multiagent Negotiation

Svetha Venkatesh

National Conference on Artificial Intelligence, 1996

View PDFchevron_right

Learning to play a satisfaction equilibrium

Brahim Chaib-draa

2007

View PDFchevron_right

The dynamics of reinforcement learning in cooperative multiagent systems

Craig Boutilier

Proceedings of the National Conference on Artificial …, 1998

View PDFchevron_right

Reinforcement Learning for the N-Persons Iterated Prisoners' Dilemma

J. Enrique Agudo

Computational Intelligence and Security ( …, 2011

View PDFchevron_right

Towards a bounded-rationality model of multi-agent social learning in games

Mahdi Hemmati, Nasser Sadati, N. Sadati

2010

View PDFchevron_right

A Multi-Agent Based Framework for Supporting Learning in Adaptive Automated Negotiation

Ig Bittencourt

2006

View PDFchevron_right

Conjectural equilibrium in multiagent learning

Junling Hu

1998

View PDFchevron_right

Improving cooperation among self-interested reinforcement learning agents

Enrique Munoz de Cote

2005

View PDFchevron_right

Learning to commit in repeated games

Sandip Sen

Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems - AAMAS '06, 2006

View PDFchevron_right

Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss

ABHISHEK SINHA

arXiv: Artificial Intelligence, 2020

View PDFchevron_right

AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents

Muhammad Hairuddin

Computing Research Repository, 2003

View PDFchevron_right

On the Agenda(s) of Research on Multi-Agent Learning

Rob Powers

2000

View PDFchevron_right

Multi-agent learning dynamics: A survey

Michael Kaisers

2007

View PDFchevron_right

A Reinforcement Learning Based Strategy for the Double-Game Prisoner’s Dilemma

yang gao

View PDFchevron_right

On fairness and learning agents in a bargaining model with uncertainty

Katsunori Shimohara

Cognitive Systems Research, 2002

View PDFchevron_right

Robustness Analysis of Negotiation Strategies through Multiagent Learning in Repeated Negotiation Games

Gerhard Weiss

Lecture Notes in Computer Science, 2014

View PDFchevron_right

Cooperative agent systems: artificial agents play the ultimatum game

D.J. Wu

Proceedings of the 35th Annual Hawaii International Conference on System Sciences

View PDFchevron_right

Learning in games with more than two players

Rob Powers

2000

View PDFchevron_right

Convergence, targeted optimality, and safety in multiagent learning

Peter Stone

2010

View PDFchevron_right

Social Reward Shaping in the Prisoner's Dilemma (Short Paper)

Monica Babes-Vroman

2008

View PDFchevron_right

Multiagent q-learning: Preliminary study on dominance between the nash and stackelberg equilibriums

Brahim Chaib-draa

Proceedings of AAAI-2005 Workshop on Multiagent Learning, Pittsburgh, USA, 2005

View PDFchevron_right

Reinforcement learning in extensive form games with incomplete information: the bargaining case study

Jose Munoz de Cote

2007

View PDFchevron_right

An Adaptive Strategy via Reinforcement Learning for the Prisoner's Dilemma Game

IEEE/CAA J. Autom. Sinica

View PDFchevron_right

The Seventh Stony Brook Summer Festival on Game Theory Social Learning Workshop July 21 to July 23, 1996 Book of Abstracts

Robert Axtell

1999

View PDFchevron_right

Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games

Brahim Chaib-draa

Lecture Notes in Computer Science, 2006

View PDFchevron_right