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» On Policy Learning in Restricted Policy Spaces
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JMLR
2008
124views more  JMLR 2008»
13 years 7 months ago
Learning Control Knowledge for Forward Search Planning
A number of today's state-of-the-art planners are based on forward state-space search. The impressive performance can be attributed to progress in computing domain independen...
Sung Wook Yoon, Alan Fern, Robert Givan
ASIASIM
2004
Springer
14 years 1 months ago
Design and Implementation of an SSL Component Based on CBD
Abstract. SSL is one of the most popular protocols used on the Internet for secure communications. However SSL protocol has several problems. First, SSL protocol brings considerabl...
Eun-Ae Cho, Young-Gab Kim, Chang-Joo Moon, Doo-Kwo...
ATAL
2010
Springer
13 years 8 months ago
Linear options
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
Jonathan Sorg, Satinder P. Singh
TOG
2012
193views Communications» more  TOG 2012»
11 years 10 months ago
Continuous character control with low-dimensional embeddings
Interactive, task-guided character controllers must be agile and responsive to user input, while retaining the flexibility to be readily authored and modified by the designer. C...
Sergey Levine, Jack M. Wang, Alexis Haraux, Zoran ...
CORR
2010
Springer
171views Education» more  CORR 2010»
13 years 2 months ago
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...
Cem Tekin, Mingyan Liu