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Running Start/CSB320 - Machine Learning Concepts/Class 6-4 (Reinforcement Learning).md

@@ -21,3 +21,8 @@
 	- updates model after every episode
 - temporal difference 
 	- 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
+	- $$Q^{new}(s_{t}, a_{t}) \leftarrow (1 - a) * Q(s_{t}, a_{t}) + a * (r_{t} + \gamma * max_{a} Q(s_{t+1}, a))$$
+	-