AI Rationalization code using a symbolic representation with a seq2seq network instead of a CNN-RNN Autoencoder
Code for AI rationalization using a symbolic game representation passed through a seq2seq instead of a CNN-RNN autoencoder.
The code has the following requirements,
To train the code run the following command from the root directory.
python train_frogger_seq2seq.py
To see the results of all the testing samples when passed through the network run, python sample_v6.py
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