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Violation of Markov property

Markovian environments contain everything the agent needs to make an optimal decision in the present state. There cannot be a state where an agent passes through it once and the optimal action is one ...
foreverska's user avatar
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2 votes
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Why is dynamic programming an example of planning?

There is no simulation in dynamic programming. In fact there is. Using the model $p(r, s'|s,a)$ (or other variations of it that are possible in Policy Iteration and Value Iteration) to predict ...
Neil Slater's user avatar
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3 votes

Why is dynamic programming an example of planning?

Dynamic programming is a algorithm paradigm, that is, an approach to design algorithms for problems that meet specific criteria (optimal substructure and overlapping sub-problems). So, it's not just ...
nbro's user avatar
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