16a31e2c9fedc654e9117b42b8144adf1d0e4900,examples/reinforcement_learning/tutorial_A3C.py,,,#,259

Before Change

        import matplotlib.pyplot as plt
        plt.plot(GLOBAL_RUNNING_R)
        plt.xlabel("episode")
        plt.ylabel("global running reward")
        plt.savefig("a3c.png")
        plt.show()

        GLOBAL_AC.save_ckpt()

After Change

        plt.plot(GLOBAL_RUNNING_R)
        if not os.path.exists("image"):
            os.makedirs("image")
        plt.savefig(os.path.join("image", "a3c.png"))

    if args.test:
        // ============================= EVALUATION =============================
        GLOBAL_AC.load()

Instances