Edit README.md

README.md

@@ -107,11 +107,20 @@ This repository contains my individual work for the **Hands-On Reinforcement Lea
   [A2C Panda-Reach Model](https://huggingface.co/oussamab2n/a2c-panda-reach)
 
 ### Evaluation  
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 - **Evaluation Process:**
-  - The model was evaluated over **100 episodes**.  
-  - An episode is considered **successful** if it reaches a total reward of **-0.25**.  
-- **Evaluation Results:**  
-  - **97%** of episodes successfully met the reward threshold, indicating strong performance.  
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+- The model was evaluated over 100 episodes.
+- An episode is considered successful if it reaches a total reward of -0.25.
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+- **Updated Evaluation Results:**
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+- **Total episodes with truncation:** 99/100
+- **Average reward at truncation:** -7.68
+- **Percentage of episodes meeting the reward threshold:** 97%, indicating strong performance.
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 - **Evaluation Plot:**  
   ![Evaluation Plot](/images/panda_sb3_eval.png)  
   *(Figure: The robotic arm’s performance on the PandaReachJointsDense-v3 environment.)*