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DATE
2008
IEEE
136views Hardware» more  DATE 2008»
16 years 25 days ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
TOMACS
2010
79views more  TOMACS 2010»
15 years 1 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu
WSC
2004
15 years 7 months ago
Retrospective Approximation Algorithms for the Multidimensional Stochastic Root-Finding Problem
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...
Raghu Pasupathy, Bruce W. Schmeiser
ATAL
2009
Springer
16 years 28 days ago
Multiagent reinforcement learning: algorithm converging to Nash equilibrium in general-sum discounted stochastic games
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
Natalia Akchurina
TAPD
1998
81views more  TAPD 1998»
15 years 7 months ago
A Generalized CYK Algorithm for Parsing Stochastic CFG
We present a bottom-up parsing algorithm for stochastic context-free grammars that is able (1) to deal with multiple interpretations of sentences containing compoundwords; (2) to ...
Jean-Cédric Chappelier, Martin Rajman