diff --git a/plotter/reward_plotter_final.py b/plotter/reward_plotter_final.py
new file mode 100644
index 0000000..cf2b938
--- /dev/null
+++ b/plotter/reward_plotter_final.py
@@ -0,0 +1,66 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import os
+
+
+def plot_csv_with_titles(paths_dict, x_axis, y_axis, subplot_titles, y_limits=(0, 200)):
+    # Adjustments for dynamic subplot creation based on the dictionary size
+    num_subplots = len(paths_dict)
+    fig, axs = plt.subplots(1, num_subplots, figsize=(4*num_subplots, 4))
+
+    # If only one subplot, axs is not an array, so we need to convert it
+    if num_subplots == 1:
+        axs = [axs]
+
+    for idx, (_, file_list) in enumerate(paths_dict.items()):
+        for path_, color in file_list:
+            data = np.genfromtxt(path_, delimiter=',', skip_header=0, dtype=float)
+
+            mean = np.mean(data, axis=1)
+            std = np.std(data, axis=1)
+            x = np.linspace(0, mean.shape[0], mean.shape[0])
+
+            axs[idx].plot(x, mean, color=color)
+            axs[idx].fill_between(
+                x,
+                mean - 1.96 * std,
+                mean + 1.96 * std,
+                color=color,
+                alpha=0.5
+            )
+            axs[idx].set_title(subplot_titles[idx])
+            axs[idx].set_xlabel(x_axis)
+            axs[idx].set_xlim([0, mean.shape[0]])
+            axs[idx].grid(True)
+            axs[idx].set_ylim(y_limits)
+
+            # Only label the y-axis for the leftmost plot
+            if idx == 0:
+                axs[idx].set_ylabel(y_axis)
+            else:
+                axs[idx].set_ylabel('')
+
+    plt.tight_layout()
+    plt.show()
+
+
+if __name__ == '__main__':
+
+    filepaths = [
+        "/mnt/data/cp-ei-regular-20_0-15-1686582970_1112866.csv",
+        "/mnt/data/cp-ei-random-0_95-15-1686579274_2881138.csv",
+        "/mnt/data/cp-cb-random-1_0-15-1686575989_8880587.csv",
+        "/mnt/data/cp-pi-random-1_0-15-1686575712_588163.csv"
+    ]
+
+    # Demonstrating the adjusted function with subplot titles
+    titles = ["Plot 1", "Plot 2", "Plot 3", "Plot 4"]
+
+    data_dict_colored = {
+        'subplot1': [(filepaths[0], 'blue'), (filepaths[1], 'green')],
+        'subplot2': [(filepaths[2], 'red')],
+        'subplot3': [(filepaths[3], 'purple')],
+        'subplot4': []
+    }
+
+    plot_csv_with_titles(data_dict_colored, 'Episodes', 'Reward', titles)