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| data.append({"action": run.action, "timestep": t, "reward": run.rewards[t], "overload_reward": run.other_rewards[t]["overload_reward"]}) |
Contrary to run.rewards, run.other_rewards does not have the length of rewards_df.shape[0] if the configuration did not run until the end of the scenario.
Changing "for t in range(run.rewards.shape[0])" "for t in range(run.nb_timestep)" is probably not enough as a new issue raises later

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