def _summary():
with tf.name_scope('ActorCriticLoss'):
tf.summary.scalar("values", tf.reduce_mean(value))
tf.summary.scalar("returns", tf.reduce_mean(returns))
tf.summary.scalar("advantages", tf.reduce_mean(advantages))
tf.summary.scalar("explained_variance_of_return_by_value",
common.explained_variance(value, returns))
def _summary():
with self.name_scope:
tf.summary.scalar("values", tf.reduce_mean(info.critic))
tf.summary.scalar("returns", tf.reduce_mean(info.returns))
safe_mean_hist_summary("td_error", info.returns - info.critic)
tf.summary.scalar(
"explained_variance_of_return_by_value",
common.explained_variance(info.critic, info.returns))
def _summary():
with self.name_scope:
tf.summary.scalar("values", tf.reduce_mean(value))
tf.summary.scalar("returns", tf.reduce_mean(returns))
tf.summary.scalar("advantages/mean",
tf.reduce_mean(advantages))
tf.summary.histogram("advantages/value", advantages)
tf.summary.scalar("explained_variance_of_return_by_value",
common.explained_variance(value, returns))