56 search results - page 5 / 12 » Q-Learning in Continuous State and Action Spaces |
NIPS
2007
15 years 1 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...
CDC
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— This paper deals with the long run average continuous control problem of piecewise deterministic Markov processes (PDMP‘s) taking values in a general Borel space and ...
IJCAI
2003
15 years 1 months ago
2003
This paper presents an action selection framework based on an assemblage of self-organizing neural networks called Cooperative Extended Kohonen Maps. This framework encapsulates t...
AIPS
1996
15 years 29 days ago
1996
Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned...
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AIPS
2009
15 years 23 days ago
2009
We define the robustness of a sequential plan as the probability that it will execute successfully despite uncertainty in the execution environment. We consider a rich notion of u...