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ICRA
1995
IEEE
123views Robotics» more  ICRA 1995»
15 years 2 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, ...
VLDB
1995
ACM
103views Database» more  VLDB 1995»
15 years 2 months ago
Querying Shapes of Histories
We present a shape definition language, called SDC, for retrieving objects based on shapes contained in the histories associated with these objects. It is a small, yet powerful, l...
Rakesh Agrawal, Giuseppe Psaila, Edward L. Wimmers...
ICML
1994
IEEE
15 years 2 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 2 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 2 months ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...