ray.rllib.models.modelv2.ModelV2#

class ray.rllib.models.modelv2.ModelV2(obs_space: gymnasium.spaces.Space, action_space: gymnasium.spaces.Space, num_outputs: int, model_config: dict, name: str, framework: str)[source]#

Defines an abstract neural network model for use with RLlib.

Custom models should extend either TFModelV2 or TorchModelV2 instead of this class directly.

Data flow:

Methods

`__init__`	Initializes a ModelV2 instance.
`context`	Returns a contextmanager for the current forward pass.
`custom_loss`	Override to customize the loss function used to optimize this model.
`forward`	Call the model with the given input tensors and state.
`get_initial_state`	Get the initial recurrent state values for the model.
`is_time_major`	If True, data for calling this ModelV2 must be in time-major format.
`last_output`	Returns the last output returned from calling the model.
`metrics`	Override to return custom metrics from your model.
`trainable_variables`	Returns the list of trainable variables for this model.
`value_function`	Returns the value function output for the most recent forward pass.
`variables`	Returns the list (or a dict) of variables for this model.