spring: videos

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1. 1▶Storing SilagePasture and Forage Minute1:55
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2. 2▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 19: Model-Based RLStanford OnlineNotes
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3. 3▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 18: RL Policy OptimizationStanford OnlineNotes
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4. 4▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 17: RL Value-Based MethodsStanford OnlineNotes
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5. 5▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 16: Fundamentals of RLStanford OnlineNotes
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6. 6▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 15: Imitation LearningStanford OnlineNotes
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7. 7▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 14: Intro to IL and RLStanford OnlineNotes
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8. 8▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 13: Intro to LearningStanford OnlineNotes
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9. 9▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 12: Feasibility of MPCStanford OnlineNotes
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10. 10▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 11: Introduction to MPCStanford OnlineNotes
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11. 11▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 10: Reachibility AnalysisStanford OnlineNotes
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12. 12▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 9: Stochastic Dyn. ProgramStanford OnlineNotes
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13. 13▶AStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 8: LQR-Style AlgorithmsStanford OnlineNotes
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14. 14▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 7: Dynamic ProgrammingStanford OnlineNotes
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15. 15▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 6: Direct MethodsStanford OnlineNotes
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16. 16▶Common Mullein ControlPasture and Forage Minute2:04
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17. 17▶Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 5: Computational MethodsStanford OnlineNotes
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18. 18▶The Cost of OvergrazingPasture and Forage Minute1:45
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19. 19▶Late Rain and Brome PasturesPasture and Forage Minute1:36
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20. 20▶Heat Effects on AlfalfaPasture and Forage Minute1:58
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21. 21▶Yucca Control on RangelandPasture and Forage Minute2:03
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22. 22▶Mid-Season Forage CheckPasture and Forage Minute1:46
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23. 23▶Late Rains and Native RangePasture and Forage Minute1:40
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24. 24▶Rental Rates for Nebraska in 2026Pasture and Forage Minute1:52
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25. 25▶Haying Summer AnnualsPasture and Forage Minute1:50
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26. 26▶Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 8 - Trending TopicsStanford CME296: Diffusion & Large Vision ModelsNotes
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27. 27▶Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 8 - Trending TopicsLarge Language Models (LLMs)Notes
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28. 28▶Lecture 15: 3D Generation (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
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29. 29▶Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 7 - EvaluationStanford CME296: Diffusion & Large Vision ModelsNotes
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30. 30▶Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 7 - EvaluationLarge Language Models (LLMs)Notes
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31. 31▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 15: Mid/Post-TrainingStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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32. 32▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 14: DataStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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33. 33▶Guest Lecture 3: Seungchan Kim (CS479: Machine Learning for 3D Data, Spring 2026, KAIST)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
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34. 34▶Lecture 14: Mesh Deformation (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
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35. 35▶Lecture 12: Representation Conversion 1 (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
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36. 36▶Lecture 13: Gaussian Splatting (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
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37. 37▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 13: Data (Sources, Datasets)Stanford CS336: Language Modeling from Scratch | Spring 2026Notes
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38. 38▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 12: EvaluationStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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39. 39▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 11: Scaling LawsStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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40. 40▶Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 6 - Model TrainingStanford CME296: Diffusion & Large Vision ModelsNotes
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41. 41▶Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 6 - Model TrainingLarge Language Models (LLMs)Notes
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42. 42▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 10: InferenceStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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43. 43▶Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 5 - ArchitecturesStanford CME296: Diffusion & Large Vision ModelsNotes
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44. 44▶Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 5 - ArchitecturesLarge Language Models (LLMs)Notes
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45. 45▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 9: Scaling LawsStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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46. 46▶Lecture 10: Hybrid Representations (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
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47. 47▶Lecture 11: Gaussian Splatting (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
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48. 48▶Lecture 9: Neural Rendering (KAIST CS479, Spring 2026)KAIST CS479: Machine Learning for 3D Data (Spring 2026)Notes
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49. 49▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 8: ParallelismStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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50. 50▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 7: ParallelismStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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