31 search results - page 2 / 7 » Noise Tolerance in Reinforcement Learning Algorithms |
ALT
2011
Springer
12 years 5 months ago
2011
Springer
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...
EWRL
2008
13 years 6 months ago
2008
Two variable metric reinforcement learning methods, the natural actor-critic algorithm and the covariance matrix adaptation evolution strategy, are compared on a conceptual level a...
NIPS
2008
13 years 6 months ago
2008
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
ECML
1993
Springer
13 years 9 months ago
1993
Springer
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...
ISTCS
1997
Springer
13 years 8 months ago
1997
Springer
Kearns introduced the "statistical query" (SQ) model as a general method for producing learning algorithms which are robust against classification noise. We extend this ...