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Fix explanation of training agent (#650)

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mvhensbergen
2023-08-05 12:35:20 +02:00
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parent ba348890af
commit 933d481189
1 changed files with 4 additions and 2 deletions
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6
docs/tutorials/training_agents/blackjack_tutorial.py
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@@ -242,8 +242,10 @@ class BlackjackAgent:
# %%
# To train the agent, we will let the agent play one episode (one complete
# game is called an episode) at a time and then update it’s Q-values after
# each episode. The agent will have to experience a lot of episodes to
# explore the environment sufficiently.
# each step (one single action in a game is called a step).
#
# The agent will have to experience a lot of episodes to explore the
# environment sufficiently.
#
# Now we should be ready to build the training loop.
#