reference/generated/torchrl.trainers.algorithms.configs.utils.AdagradConfig

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torchrl.trainers.algorithms.configs.utils.AdagradConfig

class torchrl.trainers.algorithms.configs.utils.AdagradConfig(lr: float = 0.01, lr_decay: float = 0.0, weight_decay: float = 0.0, initial_accumulator_value: float = 0.0, eps: float = 1e-10, foreach: bool | None = None, maximize: bool = False, differentiable: bool = False, fused: bool | None = None, _target_: str = 'torch.optim.Adagrad', _partial_: bool = True)

Hydra configuration for torch.optim.Adagrad.

Every kwarg accepted by torch.optim.Adagrad.__init__ is exposed as a field here.