bolero.representation.Behavior¶

class bolero.representation.Behavior[source]¶

Behavior interface.

A behavior maps input (e.g. state) to output (e.g. next state or action).

__init__()¶

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

can_step()[source]¶

Returns if step() can be called again.

Returns:	can_step : bool Can we call step() again?

get_args()¶

Get parameters for this estimator.

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

get_outputs(outputs)[source]¶

Get outputs of the last step.

If the output vector consists of positions and derivatives of these, by convention all positions and all derivatives should be stored contiguously.

Parameters:	outputs : array-like, shape = (n_outputs,) outputs, e.g. next action, will be updated

init(n_inputs, n_outputs)[source]¶

Initialize the behavior.

Parameters:	n_inputs : int number of inputs n_outputs : int number of outputs

set_inputs(inputs)[source]¶

Set input for the next step.

If the input vector consists of positions and derivatives of these, by convention all positions and all derivatives should be stored contiguously.

Parameters:	inputs : array-like, shape = (n_inputs,) inputs, e.g. current state of the system

set_meta_parameters(keys, meta_parameters)[source]¶

Set meta-parameters.

Meta-parameters could be the goal, obstacles, …

Parameters:	keys : list of string names of meta-parameters meta_parameters : list of lists of float values One list of floats for each parameter

step()[source]¶

Compute output for the received input.

Uses the inputs and meta-parameters to compute the outputs.