1566 - updated docs for new items in training_config
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@@ -83,13 +83,24 @@ The environment config file consists of the following attributes:
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The other configurable item is ``flatten`` which is false by default. When set to true, the observation space is flattened (turned into a 1-D vector). You should use this if your RL agent does not natively support observation space types like ``gym.Spaces.Tuple``.
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* **num_episodes** [int]
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* **num_train_episodes** [int]
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This defines the number of episodes that the agent will train or be evaluated over.
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This defines the number of episodes that the agent will train for.
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* **num_steps** [int]
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Determines the number of steps to run in each episode of the session
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* **num_train_steps** [int]
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Determines the number of steps to run in each episode of the training session.
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* **num_eval_episodes** [int]
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This defines the number of episodes that the agent will be evaluated over.
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* **num_eval_steps** [int]
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Determines the number of steps to run in each episode of the evaluation session.
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* **time_delay** [int]
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