509 search results - page 57 / 102 » Compositional Models for Reinforcement Learning |
HICSS
2003
IEEE
14 years 1 months ago
2003
IEEE
Basically, instrumental conditioning is learning through consequences: Behavior that produces positive results (high “instrumental response”) is reinforced, and that which pro...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
WCE
2007
13 years 9 months ago
2007
— This paper presents an analytical model for calculating the deformation behavior of an elastic, composite strut comprising any number of materials, which are represented by an ...
FBIT
2007
IEEE
14 years 2 months ago
2007
IEEE
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
SMC
2007
IEEE
14 years 2 months ago
2007
IEEE
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...