Multiagent Learning Paradigms

“Perhaps a thing is simple if you can describe it fully in several different ways, without immediately knowing that you are describing the same thing” – Richard Feynman

[1]  Marcello Restelli,et al.  Sequence-Form and Evolutionary Dynamics: Realization Equivalence to Agent Form and Logit Dynamics , 2016, AAAI.

[2]  Rahul Savani,et al.  Lenient Multi-Agent Deep Reinforcement Learning , 2017, AAMAS.

[3]  Yaniv Altshuler,et al.  Static and expanding grid coverage with ant robots: Complexity results , 2011, Theor. Comput. Sci..

[4]  Simon Parsons,et al.  What evolutionary game theory tells us about multiagent learning , 2007, Artif. Intell..

[5]  Yoav Shoham,et al.  Multiagent Systems - Algorithmic, Game-Theoretic, and Logical Foundations , 2009 .

[6]  Peter Stone,et al.  Adaptive mechanism design: a metalearning approach , 2006, ICEC '06.

[7]  Manuela M. Veloso,et al.  Multiagent Systems: A Survey from a Machine Learning Perspective , 2000, Auton. Robots.

[8]  Josef Hofbauer,et al.  Evolutionary Games and Population Dynamics , 1998 .

[9]  Thomas G. Dietterich What is machine learning? , 2020, Archives of Disease in Childhood.

[10]  Karl Tuyls,et al.  Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective , 2008, J. Mach. Learn. Res..

[11]  C. Cannings,et al.  Evolutionary Game Theory , 2010 .

[12]  Craig Boutilier,et al.  The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems , 1998, AAAI/IAAI.

[13]  Jan Paredis,et al.  Coevolutionary Computation , 1995, Artificial Life.

[14]  Thomas Bäck,et al.  Evolutionary computation: Toward a new philosophy of machine intelligence , 1997, Complex..

[15]  Tuomas Sandholm,et al.  Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm , 2022 .

[16]  Marc Lanctot,et al.  Further developments of extensive-form replicator dynamics using the sequence-form representation , 2014, AAMAS.

[17]  Tom Lenaerts,et al.  A selection-mutation model for q-learning in multi-agent systems , 2003, AAMAS '03.

[18]  Peter Stone,et al.  Autonomous agents modelling other agents: A comprehensive survey and open problems , 2017, Artif. Intell..

[19]  Michael Wooldridge,et al.  Introduction to multiagent systems , 2001 .

[20]  Wolpert,et al.  On Learnable Mechanism Design , 2019 .

[21]  David B. Fogel,et al.  Evolving Behaviors in the Iterated Prisoner's Dilemma , 1993, Evolutionary Computation.

[22]  Karl Tuyls,et al.  Evolutionary Dynamics of Regret Minimization , 2010, ECML/PKDD.

[23]  David B. Fogel,et al.  Evolving neurocontrollers using evolutionary programming , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[24]  Dorothea Heiss-Czedik,et al.  An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[25]  Karl Tuyls,et al.  Frequency adjusted multi-agent Q-learning , 2010, AAMAS.

[26]  Thomas Stützle,et al.  Ant Colony Optimization Theory , 2004 .

[27]  Michael L. Littman,et al.  Markov Games as a Framework for Multi-Agent Reinforcement Learning , 1994, ICML.

[28]  Karl Tuyls,et al.  Evolutionary Dynamics of Multi-Agent Learning: A Survey , 2015, J. Artif. Intell. Res..

[29]  J. Galef • IMITATION IN ANIMALS: HISTORY, DEFINITION, AND INTERPRETATION OF DATA FROM THE PSYCHOLOGICAL LABORATORY , 2013 .

[30]  Peter Stone,et al.  Multiagent learning is not the answer. It is the question , 2007, Artif. Intell..

[31]  Kagan Tumer,et al.  Policy transfer in mobile robots using neuro-evolutionary navigation , 2012, GECCO '12.

[32]  Dario Floreano,et al.  Evolutionary robotics: coping with environmental change , 2000 .

[33]  Bernard Manderick,et al.  Fine-Grained Parallel Genetic Algorithms , 1989, ICGA.

[34]  Karl Tuyls,et al.  An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games , 2005, Autonomous Agents and Multi-Agent Systems.

[35]  Marco Dorigo,et al.  Distributed Optimization by Ant Colonies , 1992 .

[36]  David C. Parkes,et al.  On Learnable Mechanism Design , 2022 .

[37]  Michael L. Littman,et al.  Classes of Multiagent Q-learning Dynamics with epsilon-greedy Exploration , 2010, ICML.

[38]  Peter Stone,et al.  Influencing a Flock via Ad Hoc Teamwork , 2014, ANTS Conference.

[39]  Jörgen W. Weibull,et al.  Evolutionary Game Theory , 1996 .

[40]  A. Banerjee,et al.  A Simple Model of Herd Behavior , 1992 .

[41]  Elizabeth Sklar,et al.  Hybrid Insect-Inspired Multi-Robot Coverage in Complex Environments , 2015, TAROS.

[42]  Shane Legg,et al.  Symmetric Decomposition of Asymmetric Games , 2017, Scientific Reports.

[43]  David B. Fogel,et al.  Evolutionary Computation: Towards a New Philosophy of Machine Intelligence , 1995 .

[44]  Sarit Kraus,et al.  Empirical evaluation of ad hoc teamwork in the pursuit domain , 2011, AAMAS.

[45]  Michael P. Wellman,et al.  Nash Q-Learning for General-Sum Stochastic Games , 2003, J. Mach. Learn. Res..

[46]  Gerhard Weiss,et al.  Multiagent Learning: Basics, Challenges, and Prospects , 2012, AI Mag..

[47]  Peter Stone,et al.  Adaptive Auction Mechanism Design and the Incorporation of Prior Knowledge , 2010, INFORMS J. Comput..

[48]  Yoav Shoham,et al.  If multi-agent learning is the answer, what is the question? , 2007, Artif. Intell..

[49]  J. M. Smith,et al.  The Logic of Animal Conflict , 1973, Nature.