bolero.behavior_search.ContextualBehaviorSearch¶

class bolero.behavior_search.ContextualBehaviorSearch[source]¶

Common interface for (contextual) behavior search.

__init__()¶

x.__init__(…) initializes x; see help(type(x)) for signature

get_args()¶

Get parameters for this estimator.

Returns:	params : mapping of string to any Parameter names mapped to their values.

get_behavior_from_results(result_path)[source]¶

Recover search state from file.

Parameters:	result_path : string path in which we search for the file

get_best_behavior_template()[source]¶

Return current best estimate of contextual policy.

get_desired_context()[source]¶

Chooses desired context for next evaluation.

Returns:	context : array-like, shape (n_context_dims,), optional (default: None) The context in which the next rollout shall be performed. If None, the environment may select the next context without any preferences.

get_next_behavior()[source]¶

Obtain next behavior for evaluation.

Returns:	behavior : Behavior mapping from input to output

init(n_inputs, n_outputs, n_context_dims)[source]¶

Initialize the behavior search.

Parameters:	n_inputs : int number of inputs of the behavior n_outputs : int number of outputs of the behavior n_context_dims : int number of context dimensions

is_behavior_learning_done()[source]¶

Check if the behavior learning is finished, e.g. it converged.

Returns:	finished : bool Is the learning of a behavior finished?

set_context(context)[source]¶

Set context of next evaluation.

Note that the set context need not necessarily be the same that was requested by get_desired_context().

Parameters:	context : array-like, shape (n_context_dims,) The context in which the next rollout will be performed

set_evaluation_feedback(feedbacks)[source]¶

Set feedback for the last behavior.

Parameters:	feedbacks : list of float feedback for each step or for the episode, depends on the problem

write_results(result_path)[source]¶

Store current search state.

Parameters:	result_path : string path in which the state should be stored