`garage.np.baselines.linear_multi_feature_baseline`¶

Linear Multi-Feature Baseline.

class LinearMultiFeatureBaseline(env_spec, features=None, reg_coeff=1e-05, name='LinearMultiFeatureBaseline')¶

A linear value function (baseline) based on features.

Parameters:	env_spec (garage.envs.env_spec.EnvSpec) – Environment specification. reg_coeff (float) – Regularization coefficient. features (list[str]) – Name of features. name (str) – Name of baseline.

get_param_values(self)¶

Get parameter values.

Returns:	A list of values of each parameter.
Return type:	List[np.ndarray]

set_param_values(self, flattened_params)¶

Set param values.

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

fit(self, paths)¶

Fit regressor based on paths.

Parameters:	paths (list[dict]) – Sample paths.

predict(self, paths)¶

Predict value based on paths.

garage.np.baselines.linear_multi_feature_baseline¶