89 search results - page 6 / 18 » A Bayesian Framework for Sensory Adaptation |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
ICASSP
2007
IEEE
14 years 1 months ago
2007
IEEE
In this paper, we propose an adaptive algorithm for sampling and reconstructing two-dimensional fields using mobile sensors that can move to designated locations to collect measu...
NIPS
2007
13 years 8 months ago
2007
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
AAAI
2012
11 years 9 months ago
2012
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
AIED
2005
Springer
14 years 28 days ago
2005
Springer
Abstract: The problem of modeling and assessing an individual’s ability level is central to learning environments. Numerous approaches exists to this end. Computer Adaptive Testi...