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--keep-checkpoints=<n> option for ppo.py #16

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Merged
merged 1 commit into from
Sep 21, 2017
Merged

--keep-checkpoints=<n> option for ppo.py #16

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4 changes: 3 additions & 1 deletion python/ppo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,7 @@
--learning-rate=<rate> Model learning rate [default: 3e-4].
--hidden-units=<n> Number of units in hidden layer [default: 64].
--batch-size=<n> How many experiences per gradient descent update step [default: 64].
--keep-checkpoints=<n> How many model checkpoints to keep [default: 5].
'''

options = docopt(_USAGE)
Expand All @@ -45,6 +46,7 @@
summary_freq = int(options['--summary-freq'])
save_freq = int(options['--save-freq'])
env_name = options['<env>']
keep_checkpoints = int(options['--keep-checkpoints'])

# Algorithm-specific parameters for tuning
gamma = float(options['--gamma'])
Expand Down Expand Up @@ -79,7 +81,7 @@
os.makedirs(summary_path)

init = tf.global_variables_initializer()
saver = tf.train.Saver()
saver = tf.train.Saver(max_to_keep=keep_checkpoints)

with tf.Session() as sess:
# Instantiate model parameters
Expand Down