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GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
16 years 19 days ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
196
Voted
PRICAI
2000
Springer
15 years 10 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
159
Voted
IJCNN
2006
IEEE
16 years 15 days ago
Training Reformulated Product Units in Hybrid Neural Networks
— Higher order networks allow modelling of correlates and geometrically invariant properties. Current techniques for their development either require domain knowledge, or are con...
Philip T. Elliott, Diven Topiwala, Will N. Browne
143
Voted
IROS
2006
IEEE
100views Robotics» more  IROS 2006»
16 years 14 days ago
Gait Generation for Passive Running via Iterative Learning Control
Abstract— This paper proposes a novel framework to generate optimal passive gait trajectories for a planar one-legged hopping robot via iterative learning control. The proposed m...
Satoshi Satoh, Kenji Fujimoto, Sang-Ho Hyon
165
Voted
SDM
2010
SIAM
115views Data Mining» more  SDM 2010»
15 years 8 months ago
Reconstructing Randomized Social Networks
In social networks, nodes correspond to entities and edges to links between them. In most of the cases, nodes are also associated with a set of features. Noise, missing values or ...
Niko Vuokko, Evimaria Terzi