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Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access PublicForked from shkrwnd/Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
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End-to-End-Learning-of-Communications-Systems-Without-a-Channel-Model
End-to-End-Learning-of-Communications-Systems-Without-a-Channel-Model PublicForked from Aithu-Snehith/End-to-End-Learning-of-Communications-Systems-Without-a-Channel-Model
Implementation of research paper: End-to-End Learning of Communications Systems Without a Channel Model
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SlottedAloha
SlottedAloha PublicForked from mvilgelm/SlottedAloha
Tutorial on modeling and performance analysis of Slotted ALOHA protocol.
Python 1
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slotted-aloha-simulation-python
slotted-aloha-simulation-python PublicForked from dxaen/slotted-aloha-simulation-python
Has Aloha Simulation in it
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irsa_python
irsa_python PublicForked from mvilgelm/irsa_python
Implementation of Irregular Repetition Slotted ALOHA protocol.
Python 1
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