Sciweavers

63 search results - page 7 / 13
» Learning Situation-Specific Coordination in Cooperative Mult...
Sort
View
ECML
2004
Springer
15 years 5 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 4 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
15 years 6 months 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 2 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»
14 years 11 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