Distributed Artificial Intelligence
Distributed Artificial Intelligence
Learning and adaption in distributed artificial intelligence
Distributed artificial intelligence: vol. 2
Distributed Artificial Intelligence (Vol. 2)
Distributed Artificial Intelligence (Vol. 2)
Learning the goal relevance of actions in classifier systems
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Distributed Artificial Intelligence
Distributed Artificial Intelligence
Designing Complex Organizations
Designing Complex Organizations
Extending Learning to Multiple Agents: Issues and a Model for Multi-Agent Machine Learning (MA-ML)
EWSL '91 Proceedings of the European Working Session on Machine Learning
Properties of the Bucket Brigade
Proceedings of the 1st International Conference on Genetic Algorithms
The dynamics of reinforcement learning in cooperative multiagent systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Distributed Reinforcement Learning in Multi-Agent Decision Systems
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
Machine Learning and Inductive Logic Programming for Multi-agent Systems
EASSS '01 Selected Tutorial Papers from the 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School on Multi-Agent Systems and Applications
Rationality of Reward Sharing in Multi-agent Reinforcement Learning
PRIMA '99 Proceedings of the Second Pacific Rim International Workshop on Multi-Agents: Approaches to Intelligent Agents
Proceedings of the workshop on Deception, Fraud, and Trust in Agent Societies held during the Autonomous Agents Conference: Trust in Cyber-societies, Integrating the Human and Artificial Perspectives
A Learning Algorithm for Buying and Selling Agents in Electronic Marketplaces
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
An Architectural Framework for Integrated Multiagent Planning, Reacting, and Learning
ATAL '00 Proceedings of the 7th International Workshop on Intelligent Agents VII. Agent Theories Architectures and Languages
Notes on Formalizing Coordination
AI*IA '99 Proceedings of the 6th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
The theory and experiments of designing cooperative intelligent systems
Decision Support Systems
Reinforcement learning approaches to coordination in cooperative multi-agent systems
Adaptive agents and multi-agent systems
Resource awareness in computational intelligence
International Journal of Advanced Intelligence Paradigms
Learning conventions in multiagent stochastic domains using likelihood estimates
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
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This paper deals with learning in reactive multi-agent systems. The central problem addressed is how several agents can collectively learn to coordinate their actions such that they solve a given environmental task together. In approaching this problem, two important constraints have to be taken into consideration: the incompatibility constraint, that is, the fact that different actions may be mutually exclusive; and the local information constraint, that is, the fact that each agent typically knows only a fraction of its environment. The contents of the paper is as follows. First, the topic of learning in multi-agent systems is motivated (section 1). Then, two algorithms called ACE and AGE (standing for "ACtion Estimation" and "Action Group Estimation", respectively) for the reinforcement learning of appropriate sequences of action sets in multi agent systems are described (section 2). Next, experimental results illustrating the learning abilities of these algorithms are presented (section 3). Finally, the algorithms are discussed and an outlook on future research is provided (section 4).