Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 19: Model-Based RL
The lecture details model-based RL, emphasizing that when using learned dynamics for planning, quantifying uncertainty (epistemic) is crucial. Techniques like Bayesian statistics and ensembles allow computing expected rewards by averaging over a posterior distribution of possible models.
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