1277 search results - page 150 / 256 » Terminating Decision Algorithms Optimally |
154
Voted
ICC
2007
IEEE
15 years 10 months ago
2007
IEEE
—Multicast is an important communication paradigm, also a problem well known for its difficulty (NP-completeness) to achieve certain optimization goals, such as minimum network ...
185
Voted
POPL
1994
ACM
15 years 7 months ago
1994
ACM
An important implementation decision in polymorphically typed functional programming languages is whether to represent data in boxed or unboxed form and when to transform them fro...
117
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
97
Voted
ICIP
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper revisits the problem of source-channel coding for error-resilient video streaming. We propose a new method to enable adaptive redundancy in the bitstream: fine-grain r...
118
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EWRL
2008
15 years 5 months ago
2008
We consider planning in a Markovian decision problem, i.e., the problem of finding a good policy given access to a generative model of the environment. We propose to use fitted Q-i...