Created
May 13, 2019 17:16
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| 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() |
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