fix typos

content/CSE510/CSE510_L10.md

@@ -29,13 +29,18 @@ Scale of rewards and Q-values is unknown
 
 ### Deadly Triad in Reinforcement Learning
 
-Off-policy learning (learning the expected reward changes of policy change instead of the optimal policy)
-Function approximation (usually with supervised learning)
+Off-policy learning
 
-$Q(s,a)\gets f_\theta(s,a)$
+- (learning the expected reward changes of policy change instead of the optimal policy)
 
-Bootstrapping (self-reference)
+Function approximation
 
+- (usually with supervised learning)
+- $Q(s,a)\gets f_\theta(s,a)$
+
+Bootstrapping
+
+- (self-reference, update new function from itself)
 - $Q(s,a)\gets r(s,a)+\gamma \max_{a'\in A} Q(s',a')$
 
 ### Stable Solutions for DQN