1566 - updated docs for new items in training_config

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SunilSamra
2023-07-11 12:40:25 +01:00
parent f3750032be
commit 585d35338f

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@@ -83,13 +83,24 @@ The environment config file consists of the following attributes:
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``.
* **num_episodes** [int]
* **num_train_episodes** [int]
This defines the number of episodes that the agent will train or be evaluated over.
This defines the number of episodes that the agent will train for.
* **num_steps** [int]
Determines the number of steps to run in each episode of the session
* **num_train_steps** [int]
Determines the number of steps to run in each episode of the training session.
* **num_eval_episodes** [int]
This defines the number of episodes that the agent will be evaluated over.
* **num_eval_steps** [int]
Determines the number of steps to run in each episode of the evaluation session.
* **time_delay** [int]