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ATAL
2007
Springer
14 years 2 months ago
Towards reinforcement learning representation transfer
Transfer learning problems are typically framed as leveraging knowledge learned on a source task to improve learning on a related, but different, target task. Current transfer met...
Matthew E. Taylor, Peter Stone
SP
1999
IEEE
145views Security Privacy» more  SP 1999»
14 years 25 days ago
A User-Centered, Modular Authorization Service Built on an RBAC Foundation
Psychological acceptability has been mentioned as a requirement for secure systems for as long as least privilege and fail safe defaults, but until now has been all but ignored in...
Mary Ellen Zurko, Richard Simon, Tom Sanfilippo
AAAI
1998
13 years 10 months ago
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Caroline Claus, Craig Boutilier
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
14 years 3 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone
ICRA
2009
IEEE
139views Robotics» more  ICRA 2009»
14 years 3 months ago
Transfer of knowledge for a climbing Virtual Human: A reinforcement learning approach
— In the reinforcement learning literature, transfer is the capability to reuse on a new problem what has been learnt from previous experiences on similar problems. Adapting tran...
Benoit Libeau, Alain Micaelli, Olivier Sigaud