mlpy.experiments.task.SearchTask¶

class mlpy.experiments.task.SearchTask(initial_states, terminal_states=None, env=None)[source]¶

The abstract class for a search task definition.

Parameters:

initial_states : str or State or list[str or State]

List of possible initial states.

terminal_states : str or State or list[str or State]

List of terminal states.

env : Environment, optional

The environment in which the agent performs the task.

Attributes

`event_delay`	Event delay.
`is_episodic`	Identifies if the task is episodic or not.

Methods

`get_path_cost`(c, _)	Returns the cost for the current path.
`get_reward`(state, action)	Retrieve the reward.
`get_successor`(state)	Find valid successors.
`is_complete`()	Check if the task has completed.
`random_initial_state`()	Return a random initial state.
`request_termination`(value)	Request termination of the task.
`reset`(t, **kwargs)	Reset the task.
`sensation`(**kwargs)	Gather the state feature information.
`terminate`(value)	Set the termination flag.
`termination_requested`()	Check if termination was requested.