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» Learning in the Presence of Inaccurate Information
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AI
2001
Springer
14 years 28 days ago
Imitation and Reinforcement Learning in Agents with Heterogeneous Actions
Reinforcement learning techniques are increasingly being used to solve di cult problems in control and combinatorial optimization with promising results. Implicit imitation can acc...
Bob Price, Craig Boutilier
IJCAI
1989
13 years 9 months ago
Learning Novel Domains Through Curiosity and Conjecture
This paper describes DIDO, a system we have developed to carry out exploratory learning of unfamiliar domains without assistance from an external teacher. The program incorporates...
Paul D. Scott, Shaul Markovitch
ICASSP
2011
IEEE
13 years 4 days ago
Reinforcement learning for energy-efficient wireless transmission
We consider the problem of energy-efficient point-to-point transmission of delay-sensitive data (e.g. multimedia data) over a fading channel. We propose a rigorous and unified fra...
Nicholas Mastronarde, Mihaela van der Schaar
ISCAS
2008
IEEE
169views Hardware» more  ISCAS 2008»
14 years 2 months ago
Sigma-delta learning for super-resolution independent component analysis
— Many source separation algorithms fail to deliver robust performance in presence of artifacts introduced by cross-channel redundancy, non-homogeneous mixing and highdimensional...
Amin Fazel, Shantanu Chakrabartty
HAPTICS
2005
IEEE
14 years 2 months ago
Learning and Identifying Haptic Icons under Workload
This work addresses the use of vibrotactile haptic feedback to transmit background information with variable intrusiveness, when recipients are engrossed in a primary visual and/o...
Andrew Chan, Karon E. MacLean, Joanna McGrenere