policy_values = []
eps = np.linspace(0, 2/3, num = 10)
for e in eps:
    policy = make_epsilon_greedy_policy(e)
    policy_values.append( evaluate_policy_return(T, behavioral_policy, policy) )

plt.plot(eps, policy_values)
plt.show()