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intrinsic state-action space

biblio

Visible to the public 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

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