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ICRA
1995
IEEE
123views Robotics» more  ICRA 1995»
13 years 11 months ago
Vision-Based Reinforcement Learning for Purposive Behavior Acquisition
This paper presents a method of vision-based reinforcement learning by which a robot learns to shoot a ball into a goal, and discusses several issues in applying the reinforcement...
Minoru Asada, Shoichi Noda, Sukoya Tawaratsumida, ...
STOC
1995
ACM
126views Algorithms» more  STOC 1995»
13 years 11 months ago
A computational view of population genetics
This paper contributes tothe study of nonlinear dynamical systems from a computational perspective. These systems are inherently more powerful than their linear counterparts (such...
Yuval Rabani, Yuri Rabinovich, Alistair Sinclair
ICVGIP
2008
13 years 9 months ago
Monocular Depth by Nonlinear Diffusion
Following the phenomenological approach of gestaltists, sparse monocular depth cues such as T- and X-junctions and the local convexity are crucial to identify the shape and depth ...
Jean-Michel Morel, Philippe Salembier
NIPS
2007
13 years 9 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
NIPS
2001
13 years 9 months ago
Bayesian morphometry of hippocampal cells suggests same-cell somatodendritic repulsion
Visual inspection of neurons suggests that dendritic orientation may be determined both by internal constraints (e.g. membrane tension) and by external vector fields (e.g. neurotr...
Giorgio A. Ascoli, Alexei V. Samsonovich