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» Learning the required number of agents for complex tasks
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AGI
2008
13 years 9 months ago
Transfer Learning and Intelligence: an Argument and Approach
In order to claim fully general intelligence in an autonomous agent, the ability to learn is one of the most central capabilities. Classical machine learning techniques have had ma...
Matthew E. Taylor, Gregory Kuhlmann, Peter Stone
ATAL
2004
Springer
14 years 1 months ago
Teaching and Working with Robots as a Collaboration
New applications for autonomous robots bring them into the human environment where they are to serve as helpful assistants to untrained users in the home or office, or work as ca...
Cynthia Breazeal, Guy Hoffman, Andrea Lockerd
ATAL
2008
Springer
13 years 9 months ago
Teaching multi-robot coordination using demonstration of communication and state sharing
Solutions to complex tasks often require the cooperation of multiple robots, however, developing multi-robot policies can present many challenges. In this work, we introduce teach...
Sonia Chernova, Manuela M. Veloso
PPSN
2004
Springer
14 years 1 months ago
Evaluation of Adaptive Nature Inspired Task Allocation Against Alternate Decentralised Multiagent Strategies
Adaptive multiagent algorithms based upon the behaviour of social insects are powerful decentralised systems capable of solving complex problems. The intelligence of such a system ...
Richard Price, Peter Tiño
ATAL
2007
Springer
14 years 1 months ago
Reducing the complexity of multiagent reinforcement learning
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
Andriy Burkov, Brahim Chaib-draa