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Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access PublicUsing 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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RFIM
RFIM PublicForked from teknasd/RFIM
To show how ferromagnetic square lattice converts to paramagnetic square lattice with increase in magnetic disorder,and to find the ground state in random field ising model using min-cut maxx-flow …
C++
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