garage.np.baselines package

Baselines (value functions) which use NumPy as a numerical backend.

class Baseline(env_spec)[source]

Bases: object

algorithm_parallelized
fit(paths)[source]
get_param_values()[source]
log_diagnostics(paths)[source]

Log extra information per iteration based on the collected paths

predict(path)[source]
set_param_values(val)[source]
class LinearFeatureBaseline(env_spec, reg_coeff=1e-05, name='LinearFeatureBaseline')[source]

Bases: garage.np.baselines.base.Baseline

fit(paths)[source]
get_param_values(**tags)[source]
predict(path)[source]
set_param_values(val, **tags)[source]
class ZeroBaseline(env_spec)[source]

Bases: garage.np.baselines.base.Baseline

fit(paths)[source]
get_param_values(**kwargs)[source]
predict(path)[source]
predict_n(paths)[source]
set_param_values(val, **kwargs)[source]