BinarizeReward¶
- class torchrl.envs.transforms.BinarizeReward(in_keys: Optional[Sequence[NestedKey]] = None, out_keys: Optional[Sequence[NestedKey]] = None)[source]¶
Maps the reward to a binary value (0 or 1) if the reward is null or non-null, respectively.
- Parameters:
in_keys (List[NestedKey]) – input keys
out_keys (List[NestedKey], optional) – output keys. Defaults to value of
in_keys.dtype (torch.dtype, optional) – the dtype of the binerized reward. Defaults to
torch.int8.
- transform_reward_spec(reward_spec: TensorSpec) TensorSpec[source]¶
Transforms the reward spec such that the resulting spec matches transform mapping.
- Parameters:
reward_spec (TensorSpec) – spec before the transform
- Returns:
expected spec after the transform
