diff --git a/Running Start/CSB320 - Machine Learning Concepts/Class 6-4 (Reinforcement Learning).md b/Running Start/CSB320 - Machine Learning Concepts/Class 6-4 (Reinforcement Learning).md
index f7fbed2..aca12d3 100644
--- a/Running Start/CSB320 - Machine Learning Concepts/Class 6-4 (Reinforcement Learning).md	
+++ b/Running Start/CSB320 - Machine Learning Concepts/Class 6-4 (Reinforcement Learning).md	
@@ -20,4 +20,9 @@
 - monte-carlo
 	- updates model after every episode
 - temporal difference 
-	- learns after every step, not every episode
\ No newline at end of file
+	- learns after every step, not every episode
+- q-learning
+	- assembles all possible q values on the way to end reward
+	- updates q values to find best path
+	- $$Q^{new}(s_{t}, a_{t}) \leftarrow (1 - a) * Q(s_{t}, a_{t}) + a * (r_{t} + \gamma * max_{a} Q(s_{t+1}, a))$$
+	- 
\ No newline at end of file