Bug fix in example
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@@ -109,7 +109,7 @@ num_timesteps_idxs = [int(input("Enter the epoch index: "))]
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# Evaluation...
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for (k, num_timesteps_idx) in enumerate(num_timesteps_idxs): # For each num_timesteps index...
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print(f"[ppo_hover_eval.py]: Starting epoch {k+1} out of {len(epoch_idxs)}.")
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print(f"[ppo_hover_eval.py]: Starting epoch {k+1} out of {len(num_timesteps_idxs)}.")
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# Load the model for the appropriate epoch.
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model_path = os.path.join(num_timesteps_dir, num_timesteps_list_sorted[num_timesteps_idx])
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@@ -117,7 +117,7 @@ for (k, num_timesteps_idx) in enumerate(num_timesteps_idxs): # For each num_tim
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model = PPO.load(model_path, env=envs[0], tensorboard_log=log_dir)
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# Set figure title for 3D plot.
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fig.suptitle(f"Model: PPO/{models_available[model_idx]}, Epoch: {extract_number(num_timesteps_list_sorted[num_timesteps_idx]):,}")
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fig.suptitle(f"Model: PPO/{models_available[model_idx]}, Num Timesteps: {extract_number(num_timesteps_list_sorted[num_timesteps_idx]):,}")
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# Visualization is slow, so we'll also save frames to make a GIF later.
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# Set the path for these frames here.
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