optimal: videos

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1. 1▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 19: Model-Based RLStanford OnlineNotes
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2. 2▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 18: RL Policy OptimizationStanford OnlineNotes
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3. 3▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 17: RL Value-Based MethodsStanford OnlineNotes
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4. 4▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 16: Fundamentals of RLStanford OnlineNotes
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5. 5▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 15: Imitation LearningStanford OnlineNotes
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6. 6▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 14: Intro to IL and RLStanford OnlineNotes
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7. 7▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 13: Intro to LearningStanford OnlineNotes
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8. 8▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 12: Feasibility of MPCStanford OnlineNotes
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9. 9▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 11: Introduction to MPCStanford OnlineNotes
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10. 10▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 10: Reachibility AnalysisStanford OnlineNotes
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11. 11▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 9: Stochastic Dyn. ProgramStanford OnlineNotes
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12. 12▶AStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 8: LQR-Style AlgorithmsStanford OnlineNotes
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13. 13▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 7: Dynamic ProgrammingStanford OnlineNotes
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14. 14▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 6: Direct MethodsStanford OnlineNotes
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15. 15▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 5: Computational MethodsStanford OnlineNotes
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16. 16▶Optimal Control (CMU 16-745) 2024 Lecture 14: Optimizing RotationsOptimal Control 2024Notes
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17. 17▶Optimal Control (CMU 16-745) 2024 Lecture 13: Dealing with 3D RotationsOptimal Control 2024Notes
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18. 18▶Optimal Control (CMU 16-745) 2024 Lecture 12: Direct Trajectory OptimizationOptimal Control 2024Notes
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19. 19▶Optimal Control (CMU 16-745) 2024 Lecture 11: Differential Dynamic ProgrammingOptimal Control 2024Notes
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20. 20▶Optimal Control (CMU 16-745) 2024 Lecture 10: Nonlinear Trajectory OptimizationOptimal Control 2024Notes
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21. 21▶Optimal Control (CMU 16-745) 2024 Lecture 9: Convex Model-Predictive ControlOptimal Control 2024Notes
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22. 22▶Optimal Control (CMU 16-745) 2024 Lecture 8: Controllability and Dynamic ProgrammingOptimal Control 2024Notes
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23. 23▶Optimal Control (CMU 16-745) 2024 Lecture 7: The Linear Quadratic Regulator Three WaysOptimal Control 2024Notes
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24. 24▶Optimal Control (CMU 16-745) 2024 Lecture 6: Deterministic Optimal Control IntroOptimal Control 2024Notes
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25. 25▶Optimal Control (CMU 16-745) 2024 Lecture 5: Optimization Pt. 3Optimal Control 2024Notes
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26. 26▶Recitation 2/17 (CMU 16-745) HW1 Review, Convex.jl tutorialOptimal Control 2023Notes
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27. 27▶Optimal Control (CMU 16-745) 2023 Lecture 9: Convex Model-Predictive ControlOptimal Control 2023Notes
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28. 28▶Optimal Control (CMU 16-745) 2023 Lecture 8: Controllability and Dynamic ProgrammingOptimal Control 2023Notes
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29. 29▶Recitation 2/10 (CMU 16-745) LQR and ExtensionsOptimal Control 2023Notes
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30. 30▶Optimal Control (CMU 16-745) 2023 Lecture 7: The Linear Quadratic Regulator Three WaysOptimal Control 2023Notes
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31. 31▶Recitation 2/2 (CMU 16-745) KKT Conditions, Augmented LagrangianOptimal Control 2023Notes
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32. 32▶Optimal Control (CMU 16-745) 2023 Lecture 6: Deterministic Optimal Control IntroOptimal Control 2023Notes
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33. 33▶Optimal Control (CMU 16-745) 2023 Lecture 5: Optimization Pt. 3Optimal Control 2023Notes
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34. 34▶Recitation 1/27 (CMU 16-745) Newton's Method, Constrained OptimizationOptimal Control 2023Notes
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35. 35▶Optimal Control (CMU 16-745) 2023 Lecture 4: Optimization Pt. 2Optimal Control 2023Notes
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36. 36▶Optimal Control (CMU 16-745) - Lecture 14: Optimization with QuaternionsOptimal Control 2022Notes
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37. 37▶Optimal Control (CMU 16-745) - Lecture 13: Dealing with 3D RotationsOptimal Control 2022Notes
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38. 38▶Optimal Control (CMU 16-745) - Lecture 12: Direct Trajectory Optimization MethodsOptimal Control 2022Notes
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39. 39▶Optimal Control (CMU 16-745) - Lecture 11: Differential Dynamic ProgrammingOptimal Control 2022Notes
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40. 40▶Optimal Control (CMU 16-745) - Lecture 10: Nonlinear Trajectory OptimizationOptimal Control 2022Notes
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41. 41▶Optimal Control (CMU 16-745) - Lecture 9: Convex Model-Predictive ControlOptimal Control 2022Notes
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42. 42▶Optimal Control (CMU 16-745) - Lecture 8: Controllability and Dynamic ProgrammingOptimal Control 2022Notes
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43. 43▶Optimal Control (CMU 16-745) - Lecture 7: The Linear-Quadratic Regulator 3 WaysOptimal Control 2022Notes
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44. 44▶Optimal Control (CMU 16-745) - Lecture 6: Deterministic Optimal ControlOptimal Control 2022Notes
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45. 45▶Optimal Control (CMU 16-745) - Lecture 5: Optimization Pt. 3Optimal Control 2022Notes
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