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ECML
2004
Springer
15 years 9 months ago
Convergence and Divergence in Standard and Averaging Reinforcement Learning
Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
Marco Wiering
CDC
2009
IEEE
120views Control Systems» more  CDC 2009»
15 years 8 months ago
Towards constant velocity Navigation and collision avoidance for autonomous nonholonomic aircraft-like vehicles
Abstract— This paper presents a methodology for the decentralised control of multiple 3-dimensional nonholonomic agents. The proposed control scheme is based on Navigation Functi...
Giannis P. Roussos, Kostas J. Kyriakopoulos
158
Voted
CVPR
1998
IEEE
15 years 8 months ago
Minimax Entropy and Learning by Diffusion
1 A system of coupled differential equations is formulated which learns priors for modelling "preattentive" textures. It is derived from an energy functional consisting o...
Jayant Shah
114
Voted
MASCOTS
2007
15 years 5 months ago
Multiobjective Analysis in Wireless Mesh Networks
Abstract— Wireless Mesh Networks are a scalable and costeffective solution for next-generation wireless networking. In the present work, we consider the Round Weighting Problem (...
Cristiana Gomes, Gurvan Huiban
IJIT
2004
15 years 5 months ago
A Comparison of First and Second Order Training Algorithms for Artificial Neural Networks
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
Syed Muhammad Aqil Burney, Tahseen Ahmed Jilani, C...