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» Efficient Approximation of Optimal Control for Markov Games
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AGI
2008
14 years 11 months ago
A computational approximation to the AIXI model
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...
Sergey Pankov
ICCV
2009
IEEE
14 years 7 months ago
Efficient human pose estimation via parsing a tree structure based human model
Human pose estimation is the task of determining the states (location, orientation and scale) of each body part. It is important for many vision understanding applications, e.g. v...
Xiaoqin Zhang, Changcheng Li, Xiaofeng Tong, Weimi...
ADHOCNOW
2008
Springer
15 years 3 months ago
Utility-Based Uplink Power Control in CDMA Wireless Networks with Real-Time Services
In this paper we address the problem of efficient power allocation in the uplink of CDMA wireless networks, emphasizing on the support of realtime services’ QoS prerequisites. Th...
Timotheos Kastrinogiannis, Eirini-Eleni Tsiropoulo...
82
Voted
JAIR
2006
160views more  JAIR 2006»
14 years 9 months ago
Anytime Point-Based Approximations for Large POMDPs
The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact s...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
80
Voted
ICML
2003
IEEE
15 years 10 months ago
Planning in the Presence of Cost Functions Controlled by an Adversary
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum