garage.tf.distributions package¶

class Distribution[source]¶

Bases: object

dim¶

dist_info_keys¶

dist_info_specs¶

entropy(dist_info)[source]¶

kl(old_dist_info, new_dist_info)[source]¶: Compute the KL divergence of two distributions

kl_sym(old_dist_info_vars, new_dist_info_vars)[source]¶: Compute the symbolic KL divergence of two distributions

likelihood_ratio_sym(x_var, old_dist_info_vars, new_dist_info_vars)[source]¶

log_likelihood(xs, dist_info)[source]¶

log_likelihood_sym(x_var, dist_info_vars)[source]¶

class Bernoulli(dim, name='Bernoulli')[source]¶

Bases: garage.tf.distributions.base.Distribution

dim¶

dist_info_keys¶

entropy(dist_info)[source]¶

kl(old_dist_info, new_dist_info)[source]¶: Compute the KL divergence of two distributions

kl_sym(old_dist_info_vars, new_dist_info_vars, name=None)[source]¶: Compute the symbolic KL divergence of two distributions

likelihood_ratio_sym(x_var, old_dist_info_vars, new_dist_info_vars, name=None)[source]¶

log_likelihood(xs, dist_info)[source]¶

log_likelihood_sym(x_var, dist_info_vars, name=None)[source]¶

sample(dist_info)[source]¶

class Categorical(dim, name=None)[source]¶

Bases: garage.tf.distributions.base.Distribution

cross_entropy_sym(old_dist_info_vars, new_dist_info_vars, name=None)[source]¶

dim¶

dist_info_specs¶

entropy(info)[source]¶

entropy_sym(dist_info_vars, name=None)[source]¶

kl(old_dist_info, new_dist_info)[source]¶: Compute the KL divergence of two categorical distributions

kl_sym(old_dist_info_vars, new_dist_info_vars, name=None)[source]¶: Compute the symbolic KL divergence of two categorical distributions

likelihood_ratio_sym(x_var, old_dist_info_vars, new_dist_info_vars, name=None)[source]¶

log_likelihood(xs, dist_info)[source]¶

log_likelihood_sym(x_var, dist_info_vars, name=None)[source]¶

sample(dist_info)[source]¶

sample_sym(dist_info, name=None)[source]¶

class DiagonalGaussian(dim, name='DiagonalGaussian')[source]¶

Bases: garage.tf.distributions.base.Distribution

dim¶

dist_info_specs¶

entropy(dist_info)[source]¶

entropy_sym(dist_info_var, name=None)[source]¶

kl(old_dist_info, new_dist_info)[source]¶: Compute the KL divergence of two distributions

kl_sym(old_dist_info_vars, new_dist_info_vars, name=None)[source]¶: Compute the symbolic KL divergence of two distributions

likelihood_ratio_sym(x_var, old_dist_info_vars, new_dist_info_vars, name=None)[source]¶

log_likelihood(xs, dist_info)[source]¶

log_likelihood_sym(x_var, dist_info_vars, name=None)[source]¶

sample(dist_info)[source]¶

class RecurrentCategorical(dim, name='RecurrentCategorical')[source]¶

Bases: garage.tf.distributions.base.Distribution

dim¶

dist_info_specs¶

entropy(dist_info)[source]¶

entropy_sym(dist_info_vars, name=None)[source]¶

kl(old_dist_info, new_dist_info)[source]¶: Compute the KL divergence of two categorical distributions

kl_sym(old_dist_info_vars, new_dist_info_vars, name=None)[source]¶: Compute the symbolic KL divergence of two categorical distributions

likelihood_ratio_sym(x_var, old_dist_info_vars, new_dist_info_vars, name=None)[source]¶

log_likelihood(xs, dist_info)[source]¶

log_likelihood_sym(xs, dist_info_vars, name=None)[source]¶

RecurrentDiagonalGaussian¶: alias of garage.tf.distributions.diagonal_gaussian.DiagonalGaussian

Submodules¶