garage.np.exploration_policies.exploration_policy module¶

Exploration Policy API used by off-policy algorithms.

class ExplorationPolicy(policy)[source]¶

Bases: abc.ABC

Policy that wraps another policy to add action noise.

Parameters:	policy (garage.Policy) – Policy to wrap.

get_action(observation)[source]¶

Return an action with noise.

Parameters:	observation (np.ndarray) – Observation from the environment.
Returns:	An action with noise. dict: Arbitrary policy state information (agent_info).
Return type:	np.ndarray

get_actions(observations)[source]¶

Return actions with noise.

Parameters:	observations (np.ndarray) – Observation from the environment.
Returns:	Actions with noise. List[dict]: Arbitrary policy state information (agent_info).
Return type:	np.ndarray

get_param_values()[source]¶

Get parameter values.

Returns:	Values of each parameter.
Return type:	list or dict

reset(dones=None)[source]¶

Reset the state of the exploration.

Parameters:	dones (List[bool] or numpy.ndarray or None) – Which vectorization states to reset.

set_param_values(params)[source]¶

Set param values.

Parameters:	params (np.ndarray) – A numpy array of parameter values.