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For questions related to the credit assignment problem, i.e. determine which and how actions contribute to a certain outcome, which is the main problem that reinforcement learning algorithms attempt to solve.

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How are "lags" and "exogenous factors" accounted for in reinforcement learning?

One of Reinforcement Learning's core features is the ability to deal with delayed rewards/punishments - i.e. rewards that may occur as a consequence of a decision that occurred multiple time steps ago …
Neil Slater's user avatar
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