233 search results - page 7 / 47 » Composing and combining policies under the policy machine |
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
HPDC
2000
IEEE
15 years 1 months ago
2000
IEEE
While the MPP is still the most common architecture in supercomputer centers today, a simpler and cheaper machine configuration is growing increasingly common. This alternative s...
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POLICY
2004
Springer
15 years 2 months ago
2004
Springer
Access control (AC) technology has come a long way from its roots as the means for sharing resources between processes running on a single machine, to a mechanism for regulating t...
CSFW
2010
IEEE
15 years 1 months ago
2010
IEEE
—Although policy compliance testing is generally treated as a binary decision problem, the evidence gathered during the trust management process can actually be used to examine t...
ECML
2007
Springer
15 years 3 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...