Here are some resources about sequential decision making, this includes reinforcement learning and model-predictive control.
http://web.mit.edu/dimitrib/www/RLbook.html - Course on reinforcement learning by Bertsekas, focus on dynamic programming perspective
https://deepmind.com/learning-resources/reinforcement-learning-series-2021 - DeepMind reinforcement learning course (2021)
Distributional Reinforcement Learning - Theory of distributional approaches in reinforcmenet learning (2021)
Reinforcement Learning and Optimal Control - Class notes from Bertsekas course
Introduction to Reinforcement Learning - classic from Sutton and Barto (not that math-intensive)
Model Predictive Control: Theory, Computation, and Design - one of the favorite books for MPC people