diff --git a/papers/Policy_gradient/Soft Actor-Critic_Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.md b/papers/Policy_gradient/Soft Actor-Critic_Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.md
index ef3013d..0282de0 100644
--- a/papers/Policy_gradient/Soft Actor-Critic_Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.md	
+++ b/papers/Policy_gradient/Soft Actor-Critic_Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.md	
@@ -157,7 +157,11 @@ soft actor-critic算法用伪代码可表示为：
 
 虽然SAC算法采用了energy-based模型，但是实际上策略分布仍为高斯分布，存在一定的局限性。
 
-
+====================================
+作者：杨骏铭
+研究单位：南京邮电大学
+研究方向：强化学习、对抗学习
+联系邮箱：jmingyang@outlook.com