360 search results - page 12 / 72 » Combining Learned Discrete and Continuous Action Models |
NIPS
2007
14 years 11 months ago
2007
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
IROS
2009
IEEE
15 years 4 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
76
Voted
DAGM
2004
Springer
15 years 2 months ago
2004
Springer
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
ESANN
2007
14 years 11 months ago
2007
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
96
Voted
TROB
2010
14 years 4 months ago
2010
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...