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For questions related to the transition model of a Markov decision process or other Markov models. This term is often used in reinforcement learning (RL) to distinguish between model-based and model-free RL algorithms, where model-based algorithms use the transition model while model-free don't use it.

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What is the difference between a distribution model and a sampling model in Reinforcement Le...

The book from Sutton and Barto, Reinforcement Learning: An Introduction, define a model in Reinforcement Learning as something that mimics the behavior of the environment, or more generally, that all …
A. Pesare's user avatar
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