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Learning First-to-Spike Policies for Neuromorphic Control Using Policy
  Gradients

Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients

23 October 2018
Bleema Rosenfeld
Osvaldo Simeone
Bipin Rajendran
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Papers citing "Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients"

3 / 3 papers shown
Title
A Novel Neuromorphic Processors Realization of Spiking Deep
  Reinforcement Learning for Portfolio Management
A Novel Neuromorphic Processors Realization of Spiking Deep Reinforcement Learning for Portfolio Management
Amir Saeidi
Forouzan Fallah
Soroush Barmaki
Hamed Farbeh
29
11
0
26 Mar 2022
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian
  Learning
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
37
17
0
15 Dec 2020
VOWEL: A Local Online Learning Rule for Recurrent Networks of
  Probabilistic Spiking Winner-Take-All Circuits
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
32
11
0
20 Apr 2020
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