garage.np.baselines.linear_feature_baseline

A linear value function (baseline) based on features.

class LinearFeatureBaseline(env_spec, reg_coeff=1e-05, name='LinearFeatureBaseline')

Bases: garage.np.baselines.baseline.Baseline

Inheritance diagram of garage.np.baselines.linear_feature_baseline.LinearFeatureBaseline

A linear value function (baseline) based on features.

Parameters:
  • env_spec (garage.envs.env_spec.EnvSpec) – Environment specification.
  • reg_coeff (float) – Regularization coefficient.
  • 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.

Parameters:paths (list[dict]) – Sample paths.
Returns:Predicted value.
Return type:numpy.ndarray