ray.rllib.policy.policy.Policy.apply_gradients

Policy.apply_gradients(gradients: List[Tuple[numpy.array | jnp.ndarray | tf.Tensor | torch.Tensor, numpy.array | jnp.ndarray | tf.Tensor | torch.Tensor]] | List[numpy.array | jnp.ndarray | tf.Tensor | torch.Tensor]) → None

Applies the (previously) computed gradients.

Either this in combination with compute_gradients() or learn_on_batch() must be implemented by subclasses.

Parameters:

gradients – The already calculated gradients to apply to this Policy.