36 search results - page 1 / 8 » Model-Based Exploration in Continuous State Spaces |
64
Voted
SARA
2007
Springer
15 years 3 months ago
2007
Springer
NIPS
2008
14 years 11 months ago
2008
The essence of exploration is acting to try to decrease uncertainty. We propose a new methodology for representing uncertainty in continuous-state control problems. Our approach, ...
NIPS
2007
14 years 11 months ago
2007
We provide a provably efficient algorithm for learning Markov Decision Processes (MDPs) with continuous state and action spaces in the online setting. Specifically, we take a mo...
IROS
2007
IEEE
15 years 3 months ago
2007
IEEE
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
KBSE
2009
IEEE
15 years 4 months ago
2009
IEEE
—The actor programming model offers a promising model for developing reliable parallel and distributed code. Actors provide flexibility and scalability: local execution may be i...