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Update reinforcement_q_learning: small grammer fix #423

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Merged
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Jan 27, 2019
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Update reinforcement_q_learning: small grammer fix #423

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2 changes: 1 addition & 1 deletion intermediate_source/reinforcement_q_learning.py
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Original file line number Diff line number Diff line change
Expand Up @@ -344,7 +344,7 @@ def select_action(state):
steps_done += 1
if sample > eps_threshold:
with torch.no_grad():
# t.max(1) will return largest value for column of each row.
# t.max(1) will return largest column value of each row.
# second column on max result is index of where max element was
# found, so we pick action with the larger expected reward.
return policy_net(state).max(1)[1].view(1, 1)
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