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CORR
2011
Springer
194views Education» more  CORR 2011»
12 years 8 months ago
Accelerating Reinforcement Learning through Implicit Imitation
Imitation can be viewed as a means of enhancing learning in multiagent environments. It augments an agent’s ability to learn useful behaviors by making intelligent use of the kn...
Craig Boutilier, Bob Price
NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 3 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
ACL
2012
11 years 7 months ago
Learning Syntactic Verb Frames using Graphical Models
We present a novel approach for building verb subcategorization lexicons using a simple graphical model. In contrast to previous methods, we show how the model can be trained with...
Thomas Lippincott, Anna Korhonen, Diarmuid Ó...
JMLR
2010
136views more  JMLR 2010»
12 years 11 months ago
Conceptual Imitation Learning: An Application to Human-robot Interaction
In general, imitation is imprecisely used to address different levels of social learning from high level knowledge transfer to low level regeneration of motor commands. However, t...
Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Mos...
IJHR
2008
119views more  IJHR 2008»
13 years 4 months ago
Imitation Learning of Dual-Arm Manipulation Tasks in Humanoid Robots
In this paper, we deal with imitation learning of arm movements in humanoid robots. Hidden Markov Models (HMM) are used to generalize movements demonstrated to a robot multiple tim...
Tamim Asfour, Pedram Azad, Florian Gyarfas, Rü...