Humanities, Social Sciences & Thought AI & SocietyENWhen AI Stops Being a Project: Turning Technology into Real Value for Patients and ProvidersStanford OnlineAugust 28, 2026 36 min★ ★ ★ ★ ☆ 4/5AI in HealthcareEnterprise AIAgentic Workflows
Applied Sciences & Engineering AI — Models & ResearchENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 19: Model-Based RLStanford OnlineAugust 13, 2026 81 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningModel-Based RLOptimal Control
Formal & Physical Sciences AI — Models & ResearchENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 18: RL Policy OptimizationDr. Daniele GammelliAugust 13, 2026 80 min★ ★ ★ ★ ★ 5/5Reinforcement LearningPolicy OptimizationPolicy Gradient
Formal & Physical Sciences AI — Models & ResearchENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 17: RL Value-Based MethodsStanford OnlineAugust 13, 2026 77 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningValue-Based MethodsSARSA
Formal & Physical Sciences AI — Models & ResearchENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 16: Fundamentals of RLStanford OnlineAugust 13, 2026 73 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningOptimal ControlMarkov Decision Process
Applied Sciences & Engineering AI — Models & ResearchENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 15: Imitation LearningStanford OnlineAugust 13, 2026 79 min★ ★ ★ ★ ☆ 4/5Imitation LearningBehavior CloningInverse Reinforcement Learning
Applied Sciences & Engineering Control & RoboticsENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 14: Intro to IL and RLStanford OnlineAugust 13, 2026 73 min★ ★ ★ ★ ☆ 4/5Optimal ControlImitation LearningReinforcement Learning
Applied Sciences & Engineering Control & RoboticsENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 13: Intro to LearningStanford OnlineAugust 13, 2026 80 min★ ★ ★ ★ ☆ 4/5Optimal ControlLearning-Based ControlSystem Identification
Applied Sciences & Engineering Control & RoboticsENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 12: Feasibility of MPCProf. Marco PavoneAugust 13, 2026 75 min★ ★ ★ ★ ☆ 4/5Model Predictive ControlOptimal ControlStability
Applied Sciences & Engineering Control & RoboticsENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 11: Introduction to MPCProf. Marco PavoneAugust 13, 2026 73 min★ ★ ★ ★ ★ 5/5Model Predictive ControlReachabilityHamilton-Jacobi
Formal & Physical Sciences Control & RoboticsENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 9: Stochastic Dyn. ProgramProf. Marco PavoneAugust 12, 2026 77 min★ ★ ★ ★ ★ 5/5Optimal ControlDynamic ProgrammingMarkov Decision Processes
Formal & Physical Sciences Control & RoboticsENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 7: Dynamic ProgrammingProf. Marco PavoneAugust 12, 2026 75 min★ ★ ★ ★ ★ 5/5Dynamic ProgrammingOptimal ControlLQR
Applied Sciences & Engineering Control & RoboticsENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 6: Direct MethodsStanford OnlineAugust 12, 2026 80 min★ ★ ★ ★ ☆ 4/5Optimal ControlDirect MethodsSequential Convex Programming
Formal & Physical Sciences Control & RoboticsENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 10: Reachibility AnalysisProf. Marco PavoneAugust 12, 2026 77 min★ ★ ★ ★ ★ 5/5Optimal ControlReachability AnalysisHamilton-Jacobi-Bellman
Applied Sciences & Engineering Control & RoboticsENAStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 8: LQR-Style AlgorithmsProf. Marco PavoneAugust 12, 2026 74 min★ ★ ★ ★ ★ 5/5Optimal ControlLQRTrajectory Tracking
Applied Sciences & Engineering Control & RoboticsENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 5: Computational MethodsStanford OnlineAugust 11, 2026 78 min★ ★ ★ ★ ☆ 4/5Optimal ControlPontryagin's Minimum PrincipleComputational Methods
Formal & Physical Sciences Control & RoboticsENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 4: Indirect MethodsStanford OnlineAugust 11, 2026 84 min★ ★ ★ ★ ★ 5/5Optimal ControlCalculus of VariationsEuler-Lagrange
Applied Sciences & Engineering MathematicsENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 3: Calculus of VariationsStanford OnlineAugust 11, 2026 82 min★ ★ ★ ★ ☆ 4/5Optimal ControlCalculus of VariationsStanford
Formal & Physical Sciences MathematicsENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 2: Optimization TheoryProf. Marco PavoneAugust 11, 2026 79 min★ ★ ★ ★ ★ 5/5Optimal ControlOptimization TheoryNecessary Conditions
Applied Sciences & Engineering Control & RoboticsENStanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 1: Course OverviewMarco PavoneAugust 11, 2026 73 min★ ★ ★ ★ ☆ 4/5Optimal ControlLearning-Based ControlRobotics
Formal & Physical Sciences AI — Models & ResearchENStanford CS329A Self-Improving AI Agents | Part 9 | Future Research AreasAakanksha Chowdhery and Azalia MirhoseiniAugust 3, 2026 67 min★ ★ ★ ★ ☆ 4/5Self-Improving AIMulti-Agent Fine-TuningVerification
Formal & Physical Sciences AI — News & ApplicationsENStanford CS329A Self-Improving AI Agents | Part 8 | Agentic Evaluations and Long Horizon TasksAakanksha ChowdheryAugust 3, 2026 75 min★ ★ ★ ★ ☆ 4/5Agentic AIEvaluationLong-Horizon Tasks
Formal & Physical Sciences AI — Models & ResearchENStanford CS329A Self-Improving AI Agents | Part 7 | Self-Improvement and Deep Research AgentsAakanksha ChowdheryAugust 3, 2026 72 min★ ★ ★ ★ ☆ 4/5Self-Improving AISearchAlphaCode
Formal & Physical Sciences AI — Models & ResearchENStanford CS329A Self-Improving AI Agents | Part 6 | Train Time Scaling/Scaling RLAakanksha ChowdheryAugust 3, 2026 72 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningTrain-Time ScalingReasoning
Formal & Physical Sciences AI — Models & ResearchENStanford CS329A Self-Improving AI Agents | Part 5 | Planning and Multi-Step ReasoningAzalia MirhoseiniAugust 3, 2026 74 min★ ★ ★ ★ ☆ 4/5AI AgentsPlanningMulti-Step Reasoning
Formal & Physical Sciences AI — Models & ResearchENStanford CS329A Self-Improving AI Agents | Part 4 | Learning from Feedback with Tools/CodeAakanksha ChowdheryAugust 3, 2026 71 min★ ★ ★ ★ ☆ 4/5AI AgentsReActReinforcement Learning
Formal & Physical Sciences AI — Models & ResearchENStanford CS329A Self-Improving AI Agents | Part 3 | Robust VerificationAzalia MirhoseiniAugust 3, 2026 72 min★ ★ ★ ★ ☆ 4/5VerificationLLMReward Models
Formal & Physical Sciences AI — Models & ResearchENStanford CS329A Self-Improving AI Agents | Part 2 | Test-Time Compute ScalingAzalia MirhoseiniAugust 3, 2026 63 min★ ★ ★ ★ ★ 5/5Test-Time ComputeInference ScalingLLM
Formal & Physical Sciences AI — Models & ResearchENStanford CS329A Self-Improving AI Agents | Part 1 | Course OverviewAakanksha Chowdhery, Azalia MirhoseiniAugust 3, 2026 69 min★ ★ ★ ★ ☆ 4/5AI AgentsScaling LawsLLM
Humanities, Social Sciences & Thought Computing & CybersecurityENStanford CS547 HCI Seminar | Spring 2026 | Show It or Tell It? Text, Visualization, and CombinationMarti HearstJuly 31, 2026 56 min★ ★ ★ ★ ☆ 4/5Information VisualizationText-Visualization IntegrationHuman-Computer Interaction
Formal & Physical Sciences AI — Models & ResearchENStanford CS229 Machine Learning | Spring 2026 | Lecture 9: K-Means and GMM (non-EM)Chris Ré, Tengyu MaJuly 31, 2026 76 min★ ★ ★ ★ ☆ 4/5K-MeansGaussian Mixture ModelsUnsupervised Learning
Formal & Physical Sciences AI — Models & ResearchENStanford CS229 Machine Learning | Spring 2026 | Lecture 20: GMM (EM), PCAStanford OnlineJuly 31, 2026 78 min★ ★ ★ ★ ☆ 4/5Machine LearningPolicy GradientReinforcement Learning
Formal & Physical Sciences AI — Models & ResearchENStanford CS229 Machine Learning | Spring 2026 | Lecture 18: GMM (EM), PCAChris Ré, Tengyu MaJuly 31, 2026 76 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningPolicy GradientMDP
Formal & Physical Sciences AI — Models & ResearchENStanford CS229 Machine Learning | Spring 2026 | Lecture 16: Basic Concept in RL, Policy GradientStanford OnlineJuly 31, 2026 73 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningPolicy GradientMachine Learning
Formal & Physical Sciences AI — Models & ResearchENStanford CS229 Machine Learning | Spring 2026 | Lecture 14: Transformers, In-Context LearningChris Ré, Tengyu MaJuly 31, 2026 77 min★ ★ ★ ★ ☆ 4/5TransformersIn-Context LearningTokenization
Formal & Physical Sciences AI — Models & ResearchENStanford CS229 Machine Learning | Spring 2026 | Lecture 13: LLMs, Next-Word Prediction LossStanford OnlineJuly 31, 2026 60 min★ ★ ★ ★ ☆ 4/5Machine LearningLarge Language ModelsRepresentation Learning
Formal & Physical Sciences AI — Models & ResearchENStanford CS229 Machine Learning | Spring 2026 | Lecture 12: Representation LearningChris Ré, Tengyu MaJuly 31, 2026 75 min★ ★ ★ ★ ☆ 4/5Diffusion ModelsFoundation ModelsMachine Learning
Formal & Physical Sciences AI — Models & ResearchENStanford CS229 Machine Learning | Spring 2026 | Lecture 11: Diffusion ModelsStanford OnlineJuly 31, 2026 82 min★ ★ ★ ★ ☆ 4/5Diffusion ModelsGenerative ModelsMachine Learning
Formal & Physical Sciences AI — Models & ResearchENStanford CS229 Machine Learning | Spring 2026 | Lecture 10: GMM (EM), PCAChris RéJuly 31, 2026 80 min★ ★ ★ ★ ★ 5/5GMMEM AlgorithmPCA
Formal & Physical Sciences AI — Models & ResearchENStanford CS229 Machine Learning | Spring 2026 | Lecture 8: Neural Networks 2 (Backprop)Chris Ré, Tengyu MaJuly 30, 2026 62 min★ ★ ★ ★ ☆ 4/5BackpropagationNeural NetworksAutomatic Differentiation
