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ECML
2004
Springer
15 years 11 months ago
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Pieter Jan't Hoen, Karl Tuyls
ATAL
2003
Springer
15 years 11 months ago
Synchronous versus asynchronous collaboration in situated multi-agent systems
According to the taxonomy for agent activity, proposed by V. Parunak, a collaboration is an interaction between agents of a multi-agent system (MAS) whereby the agents explicitly ...
Danny Weyns, Tom Holvoet
ATAL
2009
Springer
16 years 18 days ago
Integrating organizational control into multi-agent learning
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
ICDCS
2012
IEEE
13 years 8 months ago
Securing Virtual Coordinates by Enforcing Physical Laws
—Virtual coordinate systems (VCS) provide accurate estimations of latency between arbitrary hosts on a network, while conducting a small amount of actual measurements and relying...
Jeffrey Seibert, Sheila Becker, Cristina Nita-Rota...
ML
1998
ACM
220views Machine Learning» more  ML 1998»
15 years 5 months ago
Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments
Abstract. Coordination is an essential technique in cooperative, distributed multiagent systems. However, sophisticated coordination strategies are not always cost-effective in all...
Toshiharu Sugawara, Victor R. Lesser