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» Multi-objective Model Checking of Markov Decision Processes
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NIPS
2007
13 years 10 months ago
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
We provide a provably efficient algorithm for learning Markov Decision Processes (MDPs) with continuous state and action spaces in the online setting. Specifically, we take a mo...
Alexander L. Strehl, Michael L. Littman
ICC
2007
IEEE
121views Communications» more  ICC 2007»
14 years 3 months ago
Structure and Optimality of Myopic Sensing for Opportunistic Spectrum Access
We consider opportunistic spectrum access for secondary users over multiple channels whose occupancy by primary users is modeled as discrete-time Markov processes. Due to hardware...
Qing Zhao, Bhaskar Krishnamachari
AAAI
2012
11 years 11 months ago
POMDPs Make Better Hackers: Accounting for Uncertainty in Penetration Testing
Penetration Testing is a methodology for assessing network security, by generating and executing possible hacking attacks. Doing so automatically allows for regular and systematic...
Carlos Sarraute, Olivier Buffet, Jörg Hoffman...
ICAI
2009
13 years 6 months ago
The Utility of Affect in the Selection of Actions and Goals Under Real-World Constraints
We present a novel affective goal selection mechanism for decision-making in agents with limited computational resources (e.g., such as robots operating under real-time constraint...
Paul W. Schermerhorn, Matthias Scheutz
NGITS
1999
Springer
14 years 29 days ago
From Object-Process Diagrams to a Natural Object-Process Language
As the requirements for system analysis and design become more complex, the need for a natural, yet formal way of specifying system analysis findings and design decisions are becom...
Mor Peleg, Dov Dori