Robust-Log-Optimal-Strategy-with-Reinforcement-Learning
Robust-Log-Optimal-Strategy-with-Reinforcement-Learning copied to clipboard
xingyu-fu
Problem running your experiments
Hi, first I want to thank you for providing the implementation of the article behind:)
Unfortunately my python refuses to run and gives the error message: NotFoundError (see above for traceback): Unsuccessful TensorSliceReader constructor: Failed to find any matching files for model/default.ckpt [[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]] [[Node: save/RestoreV2/_7 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_12_save/RestoreV2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]
the exception is thrown at: File "C:\Users\Martin\PycharmProjects\Robust-Log-Optimal-Strategy-with-Reinforcement-Learning-master\NN.py", line 147, in graph self.saver = tf.train.Saver()
