RYAN-NOTES

RYAN-NOTES 
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Node / NPM package equivalents required:
1. numpy
2. collections.dequeue
3. queue
4. WeakSet and or _weakrefset
5. threading
6. importlib
7. getpass

Y = np.arange(12).reshape(3,4)


 
Y.shape

row = Y[0]

row.shape


Y.shape[-1:] == row.shape


tup = (1,2,3,4)
tup[:-1]



ALPHA STAR PAPER Notes
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The policy of AlphaStar is a function πθ(at | st,z) that maps all previous
observations and actions st = o1:t, a1:t − 1 (defined in Extended Data Tables 1, 2) 

observation 1 - t AND action 1 - (t - 1)

and z (representing strategy statistics) to a probability distribution
over actions at for the current step. πθ is implemented as a deep neural
network with the following structure

* The policy function itself, is a neural network.



The observations ot are encoded into vector representations,
combined, and processed by a deep LSTM9, which maintains
memory between steps.


/c/Users/Ryan/AppData/Local/Programs/Python/Python37-32/Lib/site-packages/s2clientprotocol