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 0282de0..5cc9551 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	
@@ -158,9 +158,13 @@ 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。
 
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 作者：杨骏铭
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 研究单位：南京邮电大学
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 研究方向：强化学习、对抗学习
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 联系邮箱：jmingyang@outlook.com