ray.rllib.utils.exploration.random.Random#

class ray.rllib.utils.exploration.random.Random(action_space: <MagicMock name='mock.Space' id='140492834250560'>, *, model: ray.rllib.models.modelv2.ModelV2, framework: Optional[str], **kwargs)[source]#

Bases: ray.rllib.utils.exploration.exploration.Exploration

A random action selector (deterministic/greedy for explore=False).

If explore=True, returns actions randomly from self.action_space (via Space.sample()). If explore=False, returns the greedy/max-likelihood action.

Methods

__init__(action_space, *, model, framework, ...)

Initialize a Random Exploration object.

before_compute_actions(*[, timestep, ...])

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

get_exploration_optimizer(optimizers)

May add optimizer(s) to the Policy's own optimizers.

get_state([sess])

Returns the current exploration state.

on_episode_end(policy, *[, environment, ...])

Handles necessary exploration logic at the end of an episode.

on_episode_start(policy, *[, environment, ...])

Handles necessary exploration logic at the beginning of an episode.

postprocess_trajectory(policy, sample_batch)

Handles post-processing of done episode trajectories.

set_state(state[, sess])

Sets the Exploration object's state to the given values.