248 search results - page 6 / 50 » Rate of Convergence for Constrained Stochastic Approximation... |
NIPS
1993
15 years 28 days ago
1993
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
MP
2006
14 years 11 months ago
2006
Monte Carlo methods have been used extensively in the area of stochastic programming. As with other methods that involve a level of uncertainty, theoretical properties are required...
NIPS
2008
15 years 1 months ago
2008
We study convergence properties of empirical minimization of a stochastic strongly convex objective, where the stochastic component is linear. We show that the value attained by t...
NIPS
1998
15 years 29 days ago
1998
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
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WSC
2004
15 years 1 months ago
2004
The stochastic root-finding problem (SRFP) is that of solving a system of q equations in q unknowns using only an oracle that provides estimates of the function values. This paper...