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ICML
2010
IEEE
13 years 9 months ago
Multiagent Inductive Learning: an Argumentation-based Approach
Multiagent Inductive Learning is the problem that groups of agents face when they want to perform inductive learning, but the data of interest is distributed among them. This pape...
Santiago Ontañón, Enric Plaza
ATAL
2008
Springer
13 years 10 months ago
Non-linear dynamics in multiagent reinforcement learning algorithms
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Only a subset of these MARL algorithms both do not require agent...
Sherief Abdallah, Victor R. Lesser
IROS
2007
IEEE
132views Robotics» more  IROS 2007»
14 years 2 months ago
Hysteretic q-learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
Laëtitia Matignon, Guillaume J. Laurent, Nadi...
ALDT
2009
Springer
207views Algorithms» more  ALDT 2009»
14 years 3 months ago
Anytime Self-play Learning to Satisfy Functional Optimality Criteria
We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...
Andriy Burkov, Brahim Chaib-draa
AR
2008
118views more  AR 2008»
13 years 8 months ago
Efficient Behavior Learning Based on State Value Estimation of Self and Others
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
Yasutake Takahashi, Kentarou Noma, Minoru Asada