reference/generated/torchrl.trainers.algorithms.configs.objectives.ReinforceLossConfig

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torchrl.trainers.algorithms.configs.objectives.ReinforceLossConfig

class torchrl.trainers.algorithms.configs.objectives.ReinforceLossConfig(_partial_: bool = False, actor_network: Any = None, critic_network: Any = None, delay_value: bool = False, loss_critic_type: str = 'smooth_l1', gamma: float | None = None, advantage_key: Any = None, value_target_key: Any = None, separate_losses: bool = False, functional: bool = True, actor: Any = None, critic: Any = None, reduction: str | None = None, clip_value: float | None = None, _target_: str = 'torchrl.trainers.algorithms.configs.objectives._make_reinforce_loss')

Hydra configuration for ReinforceLoss.

Every kwarg accepted by ReinforceLoss.__init__ is exposed as a field here. gamma, advantage_key and value_target_key are handled by the factory (via make_value_estimator and set_keys) rather than being forwarded to the constructor, which rejects them.