Nonlinear Control: Hamilton Jacobi Bellman (HJB) and Dynamic Programming

Model Based Reinforcement Learning: Policy Iteration, Value Iteration, and Dynamic Programming

Introduction to Trajectory Optimization

What Is Linear Quadratic Regulator (LQR) Optimal Control? | State Space, Part 4

Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning

Hamilton-Jacobi Theory: Finding the Best Canonical Transformation + Examples | Lecture 9

Lecture 19: Dynamic Programming I: Fibonacci, Shortest Paths

Reinforcement Learning: Machine Learning Meets Control Theory

Linear Systems [Control Bootcamp]

Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization

Think Fast, Talk Smart: Communication Techniques

Overview of Deep Reinforcement Learning Methods

Reinforcement Learning Series: Overview of Methods

RL Course by David Silver - Lecture 3: Planning by Dynamic Programming

Control Bootcamp: Overview

Bellman Equation - Explained!

Mod-10 Lec-20 Dynamic Programming

Lecture 5 LQR -- CS287-FA19 Advanced Robotics at UC Berkeley

MPC and MHE implementation in Matlab using Casadi | Part 1

Dynamic Mode Decomposition (Theory)