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Fix scaling in plots #1259

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Nov 22, 2024
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Fix scaling in plots #1259

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6 changes: 3 additions & 3 deletions docs/introduction/train_agent.md
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Original file line number Diff line number Diff line change
Expand Up @@ -160,17 +160,17 @@ fig, axs = plt.subplots(1, 3, figsize=(20, 8))

# np.convolve will compute the rolling mean for 100 episodes

axs[0].plot(np.convolve(env.return_queue, np.ones(100)))
axs[0].plot(np.convolve(env.return_queue, np.ones(100)/100))
axs[0].set_title("Episode Rewards")
axs[0].set_xlabel("Episode")
axs[0].set_ylabel("Reward")

axs[1].plot(np.convolve(env.length_queue, np.ones(100)))
axs[1].plot(np.convolve(env.length_queue, np.ones(100)/100))
axs[1].set_title("Episode Lengths")
axs[1].set_xlabel("Episode")
axs[1].set_ylabel("Length")

axs[2].plot(np.convolve(agent.training_error, np.ones(100)))
axs[2].plot(np.convolve(agent.training_error, np.ones(100)/100))
axs[2].set_title("Training Error")
axs[2].set_xlabel("Episode")
axs[2].set_ylabel("Temporal Difference")
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