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» Multi-agent learning for engineers
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COMPSAC
2006
IEEE
14 years 4 months ago
Model-Driven Agile Development of Reactive Multi-Agent Systems
The Sage development method and associated tool set support an incremental, iterative, model-driven process to build and maintain high assurance, reactive multi-agent systems. A s...
James Kirby Jr.
AAAI
2010
13 years 12 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
PAAMS
2009
Springer
14 years 3 months ago
A Tool for Generating Model Transformations By-Example in Multi-Agent Systems
Abstract Many Multi-Agent Systems (MAS) methodologies incorporate a modeldriven approach. Model Driven Engineering is based on three main ideas: models are the “first-class citi...
Iván García-Magariño, Sylvain...
TASE
2008
IEEE
13 years 10 months ago
Event-B Specification of a Situated Multi-Agent System: Study of a Platoon of Vehicles
Situated Multi-Agents Systems (MAS), and other Agentbased systems, are often complex. Formal reasoning is needed to ensuring their correctness and structuring their development. E...
Arnaud Lanoix
NIPS
2003
14 years 6 days ago
Extending Q-Learning to General Adaptive Multi-Agent Systems
Recent multi-agent extensions of Q-Learning require knowledge of other agents’ payoffs and Q-functions, and assume game-theoretic play at all times by all other agents. This pap...
Gerald Tesauro