Send a reset signal to the environment, and provides a dictionary mapping brain names to BrainInfo objects.
- `train_model` indicates whether to run the environment in train (`True`) or test (`False`) mode.
- `config` is an optional dictionary of configuration flags specific to the environment. For more information on adding optional config flags to an environment, see [here](../Making-a-new-Unity-Environment.md#implementing-yournameacademy). For generic environments, `config` can be ignored. `config` is a dictionary of strings to floats where the keys are the names of the `resetParameters` and the values are their corresponding float values.
- `config` is an optional dictionary of configuration flags specific to the environment. For more information on adding optional config flags to an environment, see [here](Making-a-new-Unity-Environment.md#implementing-yournameacademy). For generic environments, `config` can be ignored. `config` is a dictionary of strings to floats where the keys are the names of the `resetParameters` and the values are their corresponding float values.
- **Step : `env.step(action, memory=None, value = None)`**
Sends a step signal to the environment using the actions. Note that if you have more than one brain in the environment, you must provide a dictionary from brain names to actions.
- `action` can be one dimensional arrays or two dimensional arrays if you have multiple agents per brains.
GitHub