113 search results - page 14 / 23 » Learning Representation and Control in Continuous Markov Dec... |
AAAI
2007
13 years 11 months ago
2007
In the majority of cases, steel production constitutes the inception of the Supply Chains they are involved just as in automotive clusters or aerospace. Steel manufacturing compan...
NIPS
2008
13 years 10 months ago
2008
Research in animal learning and behavioral neuroscience has distinguished between two forms of action control: a habit-based form, which relies on stored action values, and a goal...
AUTOMATICA
2008
13 years 9 months ago
2008
It is well known that stochastic control systems can be viewed as Markov decision processes (MDPs) with continuous state spaces. In this paper, we propose to apply the policy iter...
NIPS
2003
13 years 10 months ago
2003
Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
NN
2010
Springer
13 years 3 months ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...