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ECML
2006
Springer
13 years 11 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
ICRA
2006
IEEE
102views Robotics» more  ICRA 2006»
14 years 1 months ago
Fast Iterative Alignment of Pose Graphs with Poor Initial Estimates
— A robot exploring an environment can estimate its own motion and the relative positions of features in the environment. Simultaneous Localization and Mapping (SLAM) algorithms ...
Edwin Olson, John J. Leonard, Seth J. Teller
EUROPAR
2009
Springer
14 years 2 days ago
Towards Metaprogramming for Parallel Systems on a Chip
We demonstrate that the performance of commodity parallel systems significantly depends on low-level details, such as storage layout and iteration space mapping, which motivates t...
Lee W. Howes, Anton Lokhmotov, Alastair F. Donalds...
IJON
2006
77views more  IJON 2006»
13 years 7 months ago
Synchronization effects using a piecewise linear map-based spiking-bursting neuron model
Models of neurons based on iterative maps allows the simulation of big networks of coupled neurons without loss of biophysical properties such as spiking, bursting or tonic bursti...
Carlos Aguirre, Doris Campos, Pedro Pascual, Eduar...
TWC
2008
156views more  TWC 2008»
13 years 7 months ago
Low-Complexity Map Channel Estimation for Mobile MIMO-OFDM Systems
Abstract-- This paper presents a reduced-complexity maximum a posteriori probability (MAP) channel estimator with iterative data detection for orthogonal frequency division multipl...
Jie Gao, Huaping Liu