Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Dyna, an integrated architecture for learning, planning, and reacting
ACM SIGART Bulletin
Technical Note: \cal Q-Learning
Machine Learning
Action selection and learning in multi-agent environments
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Reactive distributed artificial intelligence: principles and applications
Foundations of distributed artificial intelligence
Integrated premission planning and execution for unmanned ground vehicles
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Coordinating mobile robot group behavior using a model of interaction dynamics
Proceedings of the third annual conference on Autonomous Agents
Elevator Group Control Using Multiple Reinforcement Learning Agents
Machine Learning
Coordinating Plans of Autonomous Agents
Coordinating Plans of Autonomous Agents
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Reinforcement Learning in the Multi-Robot Domain
Autonomous Robots
Learning Coordinated Behavior in a Continuous Environment
ECAI '96 Selected papers from the Workshop on Distributed Artificial Intelligence Meets Machine Learning, Learning in Multi-Agent Environments
Multiagent Coordination with Learning Classifier Systems
IJCAI '95 Proceedings of the Workshop on Adaption and Learning in Multi-Agent Systems
Design of a Distributed Diagnosis System
Design of a Distributed Diagnosis System
Diagnosis as an Integral Part of Multi-Agent Adaptability TITLE2:
Diagnosis as an Integral Part of Multi-Agent Adaptability TITLE2:
Learning to coordinate actions in multi-agent systems
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
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Dyna is a single-agent architectural framework that integrates learning, planning, and reacting. Well known instantiations of Dyna are Dyna-ACand Dyna-Q. Here a multiagent extension of Dyna-Q is presented. This extension, called MDyna-Q, constitutes a novel coordination framework that bridges the gap between plan-based and reactive coordination in multiagent systems.The paper summarizes the key features of Dyna, describes M-Dyna-Q in detail, provides experimental results, and carefully discusses the benefits and limitations of this framework.