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CIG
2005
IEEE
13 years 9 months ago
A Survey on Multiagent Reinforcement Learning Towards Multi-Robot Systems
Abstract- Multiagent reinforcement learning for multirobot systems is a challenging issue in both robotics and artificial intelligence. With the ever increasing interests in theor...
Erfu Yang, Dongbing Gu
FLAIRS
2004
13 years 8 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
IROS
2007
IEEE
132views Robotics» more  IROS 2007»
14 years 1 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...
AISS
2010
165views more  AISS 2010»
13 years 4 months ago
Proposing a Comprehensive Storage Virtualization Architecture with Related Verification for Data Center Application
A successful IT Company is characterized by its ability to put the right information in front of the right decision-makers at the right time while concerns about security issues. ...
M. R. Aliabadi, Mohammad Reza Ahmadi
ROBOCUP
2009
Springer
134views Robotics» more  ROBOCUP 2009»
14 years 1 months ago
Learning Complementary Multiagent Behaviors: A Case Study
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
Shivaram Kalyanakrishnan, Peter Stone