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Merged
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May 13, 2024
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Update reinforcement_q_learning.py #2867

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2 changes: 1 addition & 1 deletion intermediate_source/reinforcement_q_learning.py
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Expand Up @@ -227,7 +227,7 @@ def forward(self, x):
# This cell instantiates our model and its optimizer, and defines some
# utilities:
#
# - ``select_action`` - will select an action accordingly to an epsilon
# - ``select_action`` - will select an action according to an epsilon
# greedy policy. Simply put, we'll sometimes use our model for choosing
# the action, and sometimes we'll just sample one uniformly. The
# probability of choosing a random action will start at ``EPS_START``
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