import tensorflow as tf

env.seed(1)

STATE_DIM = env.observation_space.shape[0]  # 24
ACTION_DIM = env.action_space.shape[0]  # 4
ACTION_BOUND = env.action_space.high    # [1, 1, 1, 1]

# all placeholder for tf
with tf.name_scope('S'):
    S = tf.placeholder(tf.float32, shape=[None, STATE_DIM], name='s')
with tf.name_scope('R'):
    R = tf.placeholder(tf.float32, [None, 1], name='r')
with tf.name_scope('S_'):
    S_ = tf.placeholder(tf.float32, shape=[None, STATE_DIM], name='s_')

