Multi-agent learning for engineers

DOI10.1016/j.artint.2007.01.003zbMath1168.68477OpenAlexW2068627087MaRDI QIDQ1028926

Jeff S. Shamma, Shie Mannor

Publication date: 9 July 2009

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.artint.2007.01.003

zbMATH Keywords

Nash equilibriumdistributed controlmulti-agent systemslearning in gamescooperative control

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Rationality and learning in game theory (91A26)

Related Items (6)

State-policy dynamics in evolutionary games ⋮ Dynamics in tree formation games ⋮ A reinforcement learning adaptive fuzzy controller for differential games ⋮ Revisiting log-linear learning: asynchrony, completeness and payoff-based implementation ⋮ Learning efficient Nash equilibria in distributed systems ⋮ Hybrid online learning control in networked multiagent systems: A survey

Cites Work

• Stochastic uncoupled dynamics and Nash equilibrium
• If multi-agent learning is the answer, what is the question?
• Calibrated learning and correlated equilibrium
• Learning, hypothesis testing, and Nash equilibrium.
• Re-entrant lines
• A survey on networking games in telecommunications
• Individual Equilibrium and Learning in Processor Sharing Systems
• Exact and Heuristic Algorithms for the Weapon-Target Assignment Problem
• Optimal control of production rate in a failure prone manufacturing system
• Scheduling manufacturing systems with work-in-process inventory control: multiple-part-type systems
• Learning Theory
• The Nonstochastic Multiarmed Bandit Problem
• 10.1162/1532443041827880
• Dynamic Cesaro-Wardrop equilibration in networks
• Optimal routing control: repeated game approach
• Dynamic fictitious play, dynamic gradient play, and distributed convergence to Nash equilibria
• Adaptive Heuristics
• Prediction, Learning, and Games
• The Empirical Bayes Envelope and Regret Minimization in Competitive Markov Decision Processes
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Multi-agent learning for engineers