Steve Brunton (Eigensteve)
A collection of videos by Dr. Steve Brunton (Eigensteve) covering topics in reinforcement learning, data-driven fluid dynamics and physics informed machine learning.
Community |
|---|
        |
Seminars
Series
Community
Recent Seminars
Mode Sensitivity for Fluid Flows via Lagrangian Coherent Structures
Morgan R. Jones, University of Southern California
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
Nicholas Zolman, The Aerospace Corporation
AI/ML+Physics: Recap and Summary
Steve Brunton, University of Washington
Using sparse trajectory data to find Lagrangian Coherent Structures (LCS) in fluid flows
Tanner Harms, California Institute of Technology
AI/ML+Physics Part 5: Employing an Optimization Algorithm
Steve Brunton, University of Washington
AI/ML+Physics Part 4: Crafting a Loss Function
Steve Brunton, University of Washington
AI/ML+Physics Part 3: Designing an Architecture
Steve Brunton, University of Washington
AI/ML+Physics Part 2: Curating Training Data
Steve Brunton, University of Washington
AI/ML+Physics Part 1: Choosing what to model
Steve Brunton, University of Washington
AI/ML+Physics: Preview of Upcoming Modules and Bootcamps
Steve Brunton, University of Washington
Most Watched Seminars
Turbulence Closure Models: Reynolds Averaged Navier Stokes (RANS) & Large Eddy Simulations (LES)
Steven L. Brunton, University of Washington
Overview of Methods
Steven L. Brunton, University of Washington
What Is Turbulence? Turbulent Fluid Dynamics are Everywhere
Steven L. Brunton, University of Washington
Lagrangian Coherent Structures (LCS) in unsteady fluids with Finite Time Lyapunov Exponents (FTLE)
Steven L. Brunton, University of Washington
Nonlinear Control: Hamilton Jacobi Bellman (HJB) and Dynamic Programming
Steven L. Brunton, University of Washington
Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning
Steven L. Brunton, University of Washington
Overview of Deep Reinforcement Learning Methods
Steven L. Brunton, University of Washington
Machine Learning for Computational Fluid Dynamics
Steven L. Brunton, University of Washington
Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning
Steven L. Brunton, University of Washington
Machine Learning for Fluid Mechanics
Steven L. Brunton, University of Washington