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NIPS
1998
14 years 11 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
ICC
2008
IEEE
109views Communications» more  ICC 2008»
15 years 4 months ago
An MDP-Based Approach for Multipath Data Transmission over Wireless Networks
—Maintaining performance and reliability in wireless networks is a challenging task due to the nature of wireless channels. Multipath data transmission has been used in wired sce...
Vinh Bui, Weiping Zhu, Alessio Botta, Antonio Pesc...
IPPS
2002
IEEE
15 years 2 months ago
Optimal Remapping in Dynamic Bulk Synchronous Computations via a Stochastic Control Approach
A bulk synchronous computation proceeds in phases that are separated by barrier synchronization. For dynamic bulk synchronous computations that exhibit varying phase-wise computat...
Gang George Yin, Cheng-Zhong Xu, Le Yi Wang
TACAS
2004
Springer
108views Algorithms» more  TACAS 2004»
15 years 3 months ago
Model Checking Discounted Temporal Properties
Temporal logic is two-valued: formulas are interpreted as either true or false. When applied to the analysis of stochastic systems, or systems with imprecise formal models, tempor...
Luca de Alfaro, Marco Faella, Thomas A. Henzinger,...
AAAI
2012
13 years 7 days ago
Planning in Factored Action Spaces with Symbolic Dynamic Programming
We consider symbolic dynamic programming (SDP) for solving Markov Decision Processes (MDP) with factored state and action spaces, where both states and actions are described by se...
Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tad...