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Replicator
Results: 85

#	Item
21	Frequency Adjusted Multi-agent Q-learning Michael Kaisers and Karl Tuyls Maastricht University Maastricht, The Netherlands {michael.kaisers, k.tuyls} @maastrichtuniversity.nl Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:02:45 Science Reinforcement learning Multi-agent system Replicator equation Q-learning Agent-based model SARSA Dynamical system Evolutionary game theory Machine learning Evolutionary dynamics Artificial intelligence
22	2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Auction Analysis by Normal Form Game Approximation Michael Kaisers, Karl Tuyls Frank Thuijsman Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:01:28 Science Nash equilibrium Normal-form game Evolutionary game theory Replicator equation Symmetric game Strategy Risk dominance Game theory Problem solving Economics
23	A Comparative Study of Multi-agent Reinforcement Learning Dynamics Daan Bloembergen Michael Kaisers Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:03:21 Artificial intelligence Reinforcement learning Learning automata Machine learning Q-learning Game theory Evolutionary game theory Reinforcement Replicator equation Evolutionary biology Evolutionary dynamics Science
24	Lenient Frequency Adjusted Q-learning Daan Bloembergen Michael Kaisers Karl Tuyls Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:03:24 Mathematics Q-learning Reinforcement learning Evolutionary game theory Temporal difference learning Nash equilibrium Replicator equation Multi-agent system Outcome Game theory Science Problem solving
25	RESQ-learning in stochastic games Daniel Hennes, Michael Kaisers and Karl Tuyls Maastricht University Department of Knowledge Engineering P.O. Box 616, 6200 MD Maastricht, The Netherlands Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:03:15 Learning Evolutionary dynamics Markov models Markov processes Evolutionary game theory Replicator equation Markov chain Learning automata Reinforcement learning Statistics Game theory Evolutionary biology
26	FAQ-learning in Matrix Games: Demonstrating Convergence near Nash Equilibria, and Bifurcation of Attractors in the Battle of Sexes Michael Kaisers, Karl Tuyls Maastricht University P.O. BoxMD Maastricht, The Ne Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:04:49 Structure Nash equilibrium Replicator equation Dynamical system Evolutionary game theory Agent-based model Strategy Coordination game Evolutionarily stable strategy Game theory Science Problem solving
27	Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach Michael Kaisers and Karl Tuyls Maastricht University, P.O. Box 616, 6200 MD Maastricht Abstract. Today’s society is largely connected and many real Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:03:37 Evolutionary game theory Replicator equation Reinforcement learning Dynamics Dynamical system Differential equation Learning automata Machine learning Evolutionary biology Evolutionary dynamics Game theory
28	Replicator Dynamics for Multi-agent Learning An Orthogonal Approach Michael Kaisers Maastricht University, P.O. Box 616, 6200 MD Maastricht August 28, 2009 Abstract Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:02:00 Evolutionary dynamics Science Replicator equation Reinforcement learning Dynamics Learning automata Evolutionarily stable strategy Dynamical system Q-learning Game theory Evolutionary biology Evolutionary game theory
29	A Common Gradient in Multi-agent Reinforcement Learning (Extended Abstract) Michael Kaisers, Daan Bloembergen, Karl Tuyls Maastricht University, P.O. Box 616, 6200MD, Maastricht, The Netherlands {michael.kaisers, daan.bl Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-07-23 07:28:30 Reinforcement learning Q-learning Gradient descent Multi-agent system Machine learning Replicator equation Gradient Mathematical analysis Mathematics Numerical analysis
30	An Evolutionary Model of Multi-agent Learning with a Varying Exploration Rate (Extended Abstract) M. Kaisers, K. Tuyls S. Parsons Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:01:53 Agent-based model Replicator equation Dynamical system Science Q-learning Abstraction Multi-agent system Artificial intelligence Reinforcement learning

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