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94
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AAAI
2006
15 years 2 months ago
Using Homomorphisms to Transfer Options across Continuous Reinforcement Learning Domains
We examine the problem of Transfer in Reinforcement Learning and present a method to utilize knowledge acquired in one Markov Decision Process (MDP) to bootstrap learning in a mor...
Vishal Soni, Satinder P. Singh
92
Voted
CORR
2010
Springer
80views Education» more  CORR 2010»
15 years 1 months ago
Many-to-Many Graph Matching: a Continuous Relaxation Approach
Graphs provide an efficient tool for object representation in various computer vision applications. Once graph-based representations are constructed, an important question is how ...
Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Ve...
78
Voted
ENTCS
2000
59views more  ENTCS 2000»
15 years 29 days ago
Building continuous webbed models for system F
We present here a large family of concrete models for Girard and Reynolds polymorphism (System F), in a non categorical setting. The family generalizes the construction of the mod...
Stefano Berardi, Chantal Berline
139
Voted
SAC
2011
ACM
14 years 4 months ago
Tracking continuous topological changes of complex moving regions
A moving region whose location and extend change over time can imply topological changes such as region split and hole formation. To study this phenomenon is useful in many applic...
Hechen Liu, Markus Schneider
85
Voted
CHI
2009
ACM
16 years 1 months ago
Longitudinal study of people learning to use continuous voice-based cursor control
We conducted a 2.5 week longitudinal study with five motor impaired (MI) and four non-impaired (NMI) participants, in which they learned to use the Vocal Joystick, a voice-based u...
Susumu Harada, Jacob O. Wobbrock, Jonathan Malkin,...