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» Learning to communicate in a decentralized environment
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ATAL
2004
Springer
15 years 3 months ago
Resource Allocation in the Grid Using Reinforcement Learning
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
Aram Galstyan, Karl Czajkowski, Kristina Lerman
IROS
2007
IEEE
132views Robotics» more  IROS 2007»
15 years 4 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...
HICSS
2003
IEEE
125views Biometrics» more  HICSS 2003»
15 years 2 months ago
Facilitator's Invisible Expertise and Supra-Situational Activities in a Telelearning Environment
The paper reports a study of a videoconference-based environment in decentralized university education and factors determining the success of teaching and learning in the environm...
Ulf Hedestig, Victor Kaptelinin
84
Voted
GLOBECOM
2008
IEEE
15 years 4 months ago
Interference-Aware Decentralized Precoding for Multicell MIMO TDD Systems
—Multiple-input multiple-output (MIMO) precoding scheme is developed for time division duplex (TDD) systems in a multicell environment. The proposed scheme is designed to maximiz...
Byong Ok Lee, Hui Won Je, Illsoo Sohn, Oh-Soon Shi...
81
Voted
ICRA
2008
IEEE
156views Robotics» more  ICRA 2008»
15 years 4 months ago
Consensus learning for distributed coverage control
— A decentralized controller is presented that causes a network of robots to converge to a near optimal sensing configuration, while simultaneously learning the distribution of ...
Mac Schwager, Jean-Jacques E. Slotine, Daniela Rus