ray.rllib.utils.exploration.random.Random.before_compute_actions

Random.before_compute_actions(*, timestep: numpy.array | jnp.ndarray | tf.Tensor | torch.Tensor | int | None = None, explore: numpy.array | jnp.ndarray | tf.Tensor | torch.Tensor | bool | None = None, tf_sess: tf.Session | None = None, **kwargs)

Hook for preparations before policy.compute_actions() is called.

Parameters:

• timestep – An optional timestep tensor.

• explore – An optional explore boolean flag.

• tf_sess – The tf-session object to use.

• **kwargs – Forward compatibility kwargs.