diff --git a/fancy_gym/examples/plotting.py b/fancy_gym/examples/plotting.py
deleted file mode 100644
index cb5f866..0000000
--- a/fancy_gym/examples/plotting.py
+++ /dev/null
@@ -1,31 +0,0 @@
-import fancy_gym
-import numpy as np
-import matplotlib.pyplot as plt
-
-# This is the code that I am using to plot the data
-
-
-def plot_trajs(desired_traj, actual_traj, dim):
-    fig, ax = plt.subplots()
-    ax.plot(desired_traj[:, dim], label='desired')
-    ax.plot(actual_traj[:, dim], label='actual')
-    ax.legend()
-    plt.show()
-
-
-def compare_desired_and_actual(env_id: str = "TableTennis4DProMP-v0"):
-    env = fancy_gym.make(env_id, seed=0)
-    env.traj_gen.basis_gn.show_basis(plot=True)
-    env.reset()
-    for _ in range(1):
-        env.render(mode=None)
-        action = env.action_space.sample()
-        obs, reward, done, info = env.step(action)
-        for i in range(1):
-            plot_trajs(info['desired_pos_traj'], info['pos_traj'], i)
-            # plot_trajs(info['desired_vel_traj'], info['vel_traj'], i)
-        if done:
-            env.reset()
-
-if __name__ == "__main__":
-    compare_desired_and_actual(env_id='TableTennis4DProMP-v0')
\ No newline at end of file
diff --git a/fancy_gym/examples/table_tennis_reproducebility.py b/fancy_gym/examples/table_tennis_reproducebility.py
deleted file mode 100644
index ec830aa..0000000
--- a/fancy_gym/examples/table_tennis_reproducebility.py
+++ /dev/null
@@ -1,22 +0,0 @@
-import fancy_gym
-import numpy as np
-
-env_1 = fancy_gym.make("TableTennis4DProDMP-v0", seed=0)
-env_2 = fancy_gym.make("TableTennis4DProDMP-v0", seed=0)
-
-obs_1 = env_1.reset()
-obs_2 = env_2.reset()
-assert np.all(obs_1 == obs_2), "The observations should be the same"
-for i in range(100000):
-    action = env_1.action_space.sample()
-    obs_1, reward_1, done_1, info_1 = env_1.step(action)
-    obs_2, reward_2, done_2, info_2 = env_2.step(action)
-    assert np.all(obs_1 == obs_2), "The observations should be the same"
-    assert np.all(reward_1 == reward_2), "The rewards should be the same"
-    assert np.all(done_1 == done_2), "The done flags should be the same"
-    for key in info_1:
-        assert np.all(info_1[key] == info_2[key]), f"The info fields: {key} should be the same"
-    if done_1 and done_2:
-        obs_1 = env_1.reset()
-        obs_2 = env_2.reset()
-        assert np.all(obs_1 == obs_2), "The observations should be the same"
\ No newline at end of file