lburzawa / augmented_curiosity

Implementation of augmented curiosity

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GameNet

To start training run:

python a2c.py

Arguments:

--icm train with curiosity

--scenario specify the environment you want to train on

--save_dir specify where your model and testing results are going to be saved

For example to train a standard a2c on My Way Home scenario:

python a2c.py

To train a2c with curiosity on My Way Home Sparse scenario:

python a2c.py --icm --scenario=./scenarios/my_way_home_sparse.cfg

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Implementation of augmented curiosity


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