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NIPS
2004
13 years 11 months ago
Learning first-order Markov models for control
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
Pieter Abbeel, Andrew Y. Ng
GRAPHICSINTERFACE
2003
13 years 11 months ago
Interactive Point-based Modeling of Complex Objects from Images
Modeling complex realistic objects is a difficult and time consuming process. Nevertheless, with improvements in rendering speed and quality, more and more applications require s...
Pierre Poulin, Marc Stamminger, François Du...
OPODIS
2004
13 years 11 months ago
Searching for a Black Hole in Tree Networks
A black hole is a highly harmful stationary process residing in a node of a network and destroying all mobile agents visiting the node, without leaving any trace. We consider the t...
Jurek Czyzowicz, Dariusz R. Kowalski, Euripides Ma...
NIPS
2001
13 years 11 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
NIPS
2001
13 years 11 months ago
Orientation-Selective aVLSI Spiking Neurons
We describe a programmable multi-chip VLSI neuronal system that can be used for exploring spike-based information processing models. The system consists of a silicon retina, a PIC...
Shih-Chii Liu, Jörg Kramer, Giacomo Indiveri,...