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» A reinforcement learning model of selective visual attention
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AAAI
2008
13 years 10 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
ECAL
2007
Springer
13 years 11 months ago
From the Outside-In: Embodied Attention in Toddlers
Abstract. An important goal in cognitive development research is an understanding of the real-world physical and social environment in which learning takes place. However, the rele...
Linda B. Smith, Chen Yu, Alfredo F. Pereira
ECML
2004
Springer
14 years 1 months ago
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Pieter Jan't Hoen, Karl Tuyls
NIPS
2004
13 years 9 months ago
Inference, Attention, and Decision in a Bayesian Neural Architecture
We study the synthesis of neural coding, selective attention and perceptual decision making. We build a hierarchical neural architecture that implements Bayesian integration of no...
Angela J. Yu, Peter Dayan
COGSCI
2007
139views more  COGSCI 2007»
13 years 7 months ago
Mapping the Color Space of Saccadic Selectivity in Visual Search
Color coding is used to guide attention in computer displays for such critical tasks as baggage screening or air traffic control. It has been shown that a display object attracts...
Yun Xu, Emily C. Higgins, Mei Xiao, Marc Pomplun