in safe_rl/sac/sac.py [0:0]
def mlp_critic(x, a, pi, name, hidden_sizes=(256,256), activation=tf.nn.relu,
output_activation=None, policy=mlp_gaussian_policy, action_space=None):
fn_mlp = lambda x : tf.squeeze(mlp(x=x,
hidden_sizes=list(hidden_sizes)+[1],
activation=activation,
output_activation=None),
axis=1)
with tf.variable_scope(name):
critic = fn_mlp(tf.concat([x,a], axis=-1))
with tf.variable_scope(name, reuse=True):
critic_pi = fn_mlp(tf.concat([x,pi], axis=-1))
return critic, critic_pi