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EUSFLAT
2001
144views Fuzzy Logic» more  EUSFLAT 2001»
13 years 9 months ago
Adaptive torque control using a connectionist reinforcement learning agent
The correction of angular misalignment between mating components is a fundamental requirement for their successful assembly. In this paper we present how a learning agent based on...
Lorenzo Brignone, Martin Howarth, S. Sivayoganatha...
ATAL
2007
Springer
14 years 1 months ago
Reinforcement learning with utility-aware agents for market-based resource allocation
Categories and Subject Descriptors Artificial Intelligence Distributed Artificial Intelligence General Terms Keywords
Eduardo Rodrigues Gomes, Ryszard Kowalczyk
CORR
2000
Springer
92views Education» more  CORR 2000»
13 years 7 months ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee
ATAL
2008
Springer
13 years 9 months ago
Autonomous transfer for reinforcement learning
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
Matthew E. Taylor, Gregory Kuhlmann, Peter Stone
IJCAI
2001
13 years 9 months ago
Multi-Agent Systems by Incremental Gradient Reinforcement Learning
Alain Dutech, Olivier Buffet, François Char...