Stanford Autonomous Systems Lab

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* d...

StanfordASL

Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.

StanfordASL

Course notes for AA203

StanfordASL

Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.

StanfordASL

Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.

StanfordASL

Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.

StanfordASL

Compiled lecture notes for AA274

StanfordASL

Adaptive control-oriented meta-learning for nonlinear systems

StanfordASL

Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone

StanfordASL

StanfordASL