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there's no such thing as "cheating" or "reward hacking", to the process of reinforcement learning. RL doesn't care if the reward function captures what we intend for it to capture. to RL there is only the reward function as it actually exists

you’d be hard pressed to find a field where “the purpose of a system is what it does” is more obvious, but it seems everyone still needs to discover this for themselves from first principles before it sinks in…

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