Edit README.md

README.md

@@ -14,8 +14,8 @@ To set up a Python virtual environment, use the following commands:
 python -m venv venv source venv/bin/activate # On macOS/Linux venv\Scripts\activate # On Windows
 
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 ### Required Libraries
 
@@ -24,18 +24,29 @@ Install the necessary libraries with the following command:
 pip install gymnasium stable-baselines3 wandb panda-gym torch matplotlib
 
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 ## Project Structure
 
 The project is organized as follows:
 
-. ├── README.md ├── a2c_sb3_cartpole.py ├── a2c_sb3_panda_reach.py ├── evaluate_reinforce_cartpole.py ├── reinforce_cartpole.py ├── reward_plot.png ├── script_hub.py ├── test.py ├── training_wandb.py ├── venv └── wandb
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+├── README.md
+├── a2c_sb3_cartpole.py
+├── a2c_sb3_panda_reach.py
+├── evaluate_reinforce_cartpole.py
+├── reinforce_cartpole.py
+├── reward_plot.png
+├── script_hub.py
+├── test.py
+├── training_wandb.py
+├── venv
+└── wandb
+
+
+
 
-markdown
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 ## Experiment Tracking
 
@@ -60,8 +71,8 @@ To run the CartPole experiment, use the following command:
 python a2c_sb3_cartpole.py
 
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 ### Running the Panda Reach Experiment
 
@@ -70,8 +81,8 @@ To run the Panda Reach experiment, use the following command:
 python a2c_sb3_panda_reach.py
 
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 ### Evaluating the CartPole Model
 
@@ -80,8 +91,8 @@ To evaluate the CartPole model, use the following command:
 python evaluate_reinforce_cartpole.py
 
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 ## Results