diff --git a/.obsidian/workspace.json b/.obsidian/workspace.json
index ffa5bdf..bcbdb22 100644
--- a/.obsidian/workspace.json
+++ b/.obsidian/workspace.json
@@ -7,60 +7,22 @@
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         "type": "tabs",
         "children": [
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-            "type": "leaf",
-            "state": {
-              "type": "markdown",
-              "state": {
-                "file": "Autonomous Networking/notes/3 WSN MAC.md",
-                "mode": "source",
-                "source": false
-              },
-              "icon": "lucide-file",
-              "title": "3 WSN MAC"
-            }
-          },
           {
             "id": "e86977f921664e81",
             "type": "leaf",
             "state": {
               "type": "markdown",
               "state": {
-                "file": "Autonomous Networking/notes/6 Internet of Things.md",
+                "file": "Autonomous Networking/notes/7 RL.md",
                 "mode": "source",
                 "source": false
               },
               "icon": "lucide-file",
-              "title": "6 Internet of Things"
-            }
-          },
-          {
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-            "type": "leaf",
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-              },
-              "icon": "lucide-image",
-              "title": "Pasted image 20241023133231"
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-              },
-              "icon": "lucide-image",
-              "title": "Pasted image 20241023133231"
+              "title": "7 RL"
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         ],
-        "currentTab": 3
+        "stacked": true
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     "direction": "vertical"
@@ -216,10 +178,14 @@
       "obsidian-git:Open Git source control": false
     }
   },
-  "active": "2b2245f56092006e",
+  "active": "0d5325c0f9289cea",
   "lastOpenFiles": [
-    "Biometric Systems/images/Pasted image 20241023135125.png",
+    "Autonomous Networking/notes/2 RFID.md",
+    "Autonomous Networking/notes/7 RL.md",
+    "Autonomous Networking/slides/7 RL1.pdf",
+    "Autonomous Networking/notes/3 WSN MAC.md",
     "Biometric Systems/images/Pasted image 20241023133231.png",
+    "Biometric Systems/images/Pasted image 20241023135125.png",
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     "Biometric Systems/images/Pasted image 20241023135127.png",
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@@ -228,20 +194,15 @@
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-    "Biometric Systems/images/Pasted image 20241024091235.png",
-    "Autonomous Networking/notes/3 WSN MAC.md",
     "Autonomous Networking/slides/2 RFID.pdf",
     "conflict-files-obsidian-git.md",
     "Autonomous Networking/notes/4 WSN Routing.md",
     "Autonomous Networking/notes/6.1 RL.md",
     "Biometric Systems/slides/LEZIONE5_NEW_More about face localization.pdf",
-    "Autonomous Networking/slides/7 RL1.pdf",
     "Autonomous Networking/slides/6 IoT.pdf",
-    "Autonomous Networking/notes/7 RL.md",
     "Autonomous Networking/slides/3 WSN.pdf",
     "Autonomous Networking/slides/4 WSN2.pdf",
     "Autonomous Networking/notes/6 Internet of Things.md",
-    "Autonomous Networking/notes/2 RFID.md",
     "Autonomous Networking/notes/5 Drones.md",
     "Biometric Systems/slides/LEZIONE4_Face introduction and localization.pdf",
     "Biometric Systems/notes/4. Face recognition.md",
diff --git a/Autonomous Networking/notes/7 RL.md b/Autonomous Networking/notes/7 RL.md
index 606f7a2..8ef493a 100644
--- a/Autonomous Networking/notes/7 RL.md	
+++ b/Autonomous Networking/notes/7 RL.md	
@@ -84,13 +84,13 @@ exploration vs exploitation dilemma:
 - emits observation Ot
 - emits scalar reward Rt
 
-
-
 **agent state:** the view of the agent on the environment state, is a function of history
-- the function of the history is involved in taking the next decision
-- the state representation defines what happens next
-- ...
-
+- the history is involved in taking the next decision:
+	- agent selects actions
+	- environment selects observations/rewards
+- the state information is used to determine what happens next
+	- state is a function of history: $S_t = f(H_t)$
+	
 #### Inside the agent
 one or more of these components
 - **Policy:** agent's behavior function
@@ -107,9 +107,10 @@ one or more of these components
 	- is a prediction of future reward
 	- used to evaluate the goodness/badness of states
 	- values are prediction of rewards
-	- Vp(s) = Ep[yRt+1 + y^2Rt+2 ... | St = s]
+	- $V_\pi(s) = Ep[yRt+1 + y^2Rt+2 ... | St = s]$
 - **Model:**
 	- predicts what the environment will do next
+	- may predict the resultant next state and/or the next reward
 	- many problems are model free
 
 back to the original problem: