Three Dogmas of Reinforcement Learning
Jul 28, 2023
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David Abel
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Modern reinforcement learning has been in large part shaped by three dogmas. The first is what I call the environment spotlight, which refers to our focus on environments rather than agents. The second is our implicit treatment of learning as finding a solution, rather than endless adaptation. The last is the reward hypothesis, which states that all goals and purposes can be well thought of as maximization of a reward signal. In this talk I discuss how these dogmas have shaped our views on learning. I argue that, when agents learn from human feedback, we ought to dispense entirely with the first two dogmas, while we must recognize and embrace the nuance implicit in the third.Modern reinforcement learning has been in large part shaped by three dogmas. The first is what I call the environment spotlight, which refers to our focus on environments rather than agents. The second is our implicit treatment of learning as finding a solution, rather than endless adaptation. The last is the reward hypothesis, which states that all goals and purposes can be well thought of as maximization of a reward signal. In this talk I discuss how these dogmas have shaped our views on learn…
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