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Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated Memory.
Marco Martinolli
Wulfram Gerstner
Aditya Gilra
Published in:
Frontiers Comput. Neurosci. (2018)
Keyphrases
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reinforcement learning
memory space
memory requirements
memory usage
dynamic model
network model
computational power
neural network
computing power
state space
intrusion detection
state information
limited memory
dynamically created
data flow
function approximation
associative memory
network traffic
artificial neural networks