What is the difference between model-based and model-free reinforcement learning?

Question

Machine Learning — Hard

What is the difference between model-based and model-free reinforcement learning?

Accepted Answer

Model-based RL involves learning or using a model of the environment's dynamics to plan future states, while model-free RL learns policies directly from experience. This distinction highlights the difference in how each approach handles the environment model.