initial commit

BayesianOptimization/BOwithGym.py

@@ -10,8 +10,6 @@ import time
 
 import matplotlib.pyplot as plt
 
-from warnings import catch_warnings, simplefilter
-
 class BayesianOptimization:
     def __init__(self, env, nr_step, nr_init=3, acq='ei', nr_weights=8, policy_seed=None):
         self.env = env

PolicyModel/GaussianModel.py

@@ -38,9 +38,9 @@ class GaussianPolicy:
     def plot_policy(self):
         x = np.linspace(0, self.nr_steps, self.nr_steps)
         plt.plot(x, self.trajectory)
-        for i in self.mean:
-            gaussian = np.exp(-0.5 * (x - i)**2 / self.std**2)
-            plt.plot(x, gaussian)
+        # for i in self.mean:
+        #     gaussian = np.exp(-0.5 * (x - i)**2 / self.std**2)
+        #     plt.plot(x, gaussian)
 
         plt.show()