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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
state spaces
biblio
Reinforcement Learning with Budget-Constrained Nonparametric Function Approximation for Opportunistic Spectrum Access
Submitted by grigby1 on Wed, 12/02/2020 - 1:54pm
learning (artificial intelligence)
telecommunication congestion control
state spaces
single-channel carrier-sense multiple-access
Scalability
Resiliency
resilience
reinforcement learning-based radio
Reinforcement learning
Receivers
radio spectrum management
Radio frequency
pubcrawl
opportunistic spectrum access
multichannel adversarial radio
Acceleration
kernel-based reinforcement learning approach
Kernel Method
Kernel
intrinsic state-action space
idle slots
function approximation
Dictionaries
coupled congestion control
congested bands
cognitive radio
channel access actions
carrier sense multiple access
budget-constrained sparsification technique
budget-constrained nonparametric function approximation
biblio
A Factored MDP Approach to Optimal Mechanism Design for Resilient Large-Scale Interdependent Critical Infrastructures
Submitted by grigby1 on Tue, 02/27/2018 - 2:36pm
Linear programming
state spaces
security enhancement
Scalability
Resiliency
resilience
pubcrawl
power system security
power system reliability
power grids
optimal resiliency mechanism design
network theory (graphs)
network resilience
Metrics
Markov processes
Markov Decision Processes
action spaces
large-scale interdependent system
large-scale interdependent critical infrastructures
Human Factors
Human behavior
factored MDP approach
decision theory
cyber-physical dependencies
Cyber Dependencies
critical infrastructures
Control Theory
Compositionality
Cascading Failures
approximation theory
approximate linear programming