Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling

Lagrangian Neural Networks

We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-informed neural networks (PINNs) are a promising tool to approxim…

A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.

Here we have an environment for running large amounts of Pokémon battle simulations in the command line.

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

A gym environment designed for free-floating space robot control based on the MuJoCo platform.