zuoxingdong / vin_tensorflow Goto Github PK
View Code? Open in Web Editor NEWTensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular
TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular
I do research on memory, and want to incorporate memory into vin to improve its navigation ability in larger scale maze.
How can I get gridworld 32x32 and gridworld 64x64?
Thank you so much.
I ran the command in the terminal as bellow:
python run.py --datafile data/gridworld_16x16.npz --imsize 16 --lr 0.008 --epochs 30 --k 20 --batch_size 128
but it shows error as following:
Traceback (most recent call last):
File "/home/cr/PycharmProjects/VIN_TensorFlow/run.py", line 118, in
trainset = Dataset(args.datafile, mode='train', imsize=args.imsize)
File "/home/cr/PycharmProjects/VIN_TensorFlow/dataset.py", line 6, in init
data = np.load(filepath).items()[0][1][0]
File "/usr/local/lib/python2.7/dist-packages/numpy/lib/npyio.py", line 249, in items
return [(f, self[f]) for f in self.files]
File "/usr/local/lib/python2.7/dist-packages/numpy/lib/npyio.py", line 235, in getitem
pickle_kwargs=self.pickle_kwargs)
File "/usr/local/lib/python2.7/dist-packages/numpy/lib/format.py", line 650, in read_array
array = pickle.load(fp, **pickle_kwargs)
cPickle.UnpicklingError: BINUNICODE pickle has negative byte count
Why the error appears?
Best regards.
hi, Dong. I am very appreciate your work on VIN.
But I wonder why the number of Q layer, ch_q, is set as 10.
In my view, there are 9 potential positions for each position in the map according to the agent's action. So it means that there should be 9 actions and 9 layers of Q.
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