def make_update_exp()

in maddpg/trainer/maddpg.py [0:0]

• 7 lines of code
• 2 McCabe index (conditional complexity)

def make_update_exp(vals, target_vals):
    polyak = 1.0 - 1e-2
    expression = []
    for var, var_target in zip(sorted(vals, key=lambda v: v.name), sorted(target_vals, key=lambda v: v.name)):
        expression.append(var_target.assign(polyak * var_target + (1.0-polyak) * var))
    expression = tf.group(*expression)
    return U.function([], [], updates=[expression])