A platform for reproducible world model research and evaluation
- deep-learning
- pytorch
- jepa
- world-model
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A platform for reproducible world model research and evaluation
Learn autonomous driving by building it: Python simulations and an open textbook where the system grows one stage at a time. Swap and compare localization, planning and control algorithms in the same system.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
A high-performance, general-purpose toolkit for versatile robotic tasks.
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC