torchrl.trainers.algorithms.configs.data.ReplayBufferConfig

class torchrl.trainers.algorithms.configs.data.ReplayBufferConfig(_partial_: bool = False, _target_: str = 'torchrl.data.replay_buffers.ReplayBuffer', storage: Any = None, sampler: Any = None, writer: Any = None, collate_fn: Any = None, pin_memory: bool = False, prefetch: int | None = None, transform: Any = None, transform_factory: Any = None, batch_size: int | None = None, dim_extend: int | None = None, checkpointer: Any = None, generator: Any = None, shared: bool = False, compilable: bool | None = None, delayed_init: bool | None = None)

Hydra configuration for ReplayBuffer.

Every kwarg accepted by ReplayBuffer.__init__ is exposed as a field here.