248 search results - page 6 / 50 » Rate of Convergence for Constrained Stochastic Approximation... |
NIPS
1993
13 years 8 months 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
13 years 7 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
13 years 9 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
13 years 9 months 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...
WSC
2004
13 years 9 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...