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Why are policy iteration and value iteration studied as separate algorithms?
1 votes

Policy iteration is based on the insight that for a given policy, it is straightforward to compute the value function (the long-run expected discounted value of being in a given stage) exactly -- it ...

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How can we prevent AGI from doing drugs?
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1 votes

This is known as reward hacking in the literature; see, e.g., https://medium.com/@deepmindsafetyresearch/designing-agent-incentives-to-avoid-reward-tampering-4380c1bb6cd for discussion and further ...

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Why is the reward in reinforcement learning always a scalar?
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8 votes

If you have multiple types of rewards (say, R1 and R2), then it is no longer clear what would be the optimal way to act: it can happen that one way of acting would maximize R1 and another way would ...

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