36 search results - page 3 / 8 » Model-Based Exploration in Continuous State Spaces |
AUTOMATICA
2010
13 years 6 months ago
2010
: The standard continuous time state space model with stochastic disturbances the mathematical abstraction of continuous time white noise. To work with well defined, discrete time ...
AI
1998
Springer
13 years 6 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
CORR
2006
Springer
13 years 6 months ago
2006
Springer
We address the problem of autonomously learning controllers for visioncapable mobile robots. We extend McCallum's (1995) Nearest-Sequence Memory algorithm to allow for genera...
NIPS
2008
13 years 7 months ago
2008
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
ECBS
2010
IEEE
13 years 10 months ago
2010
IEEE
The complexity of software in embedded systems has increased significantly over the last years so that software verification now plays an important role in ensuring the overall pr...