Physics-aware-AI / DiffCoSimLinks
By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to enable learning of hybrid dynamics.
☆37Updated 2 years ago
Alternatives and similar repositories for DiffCoSim
Users that are interested in DiffCoSim are comparing it to the libraries listed below
Sorting:
- ☆45Updated 2 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆54Updated 4 years ago
- ☆36Updated 4 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 4 years ago
- Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.☆67Updated 2 years ago
- Contact-Aware Symplectic Integrator Network☆15Updated 2 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 5 years ago
- We simulate a wind tunnel, place a rectangular occlusion in it, and then use gradient descent to turn the occlusion into a wing.☆27Updated 5 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆93Updated 4 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆31Updated 2 years ago
- This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…☆21Updated 2 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆20Updated 3 years ago
- A brief JAX tutorial with examples from control theory☆12Updated 3 years ago
- Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.☆63Updated last month
- Accelerating Quadratic Optimization with Reinforcement Learning☆94Updated 4 years ago
- ☆21Updated 3 years ago
- Online variational GPs☆37Updated 2 years ago
- ☆47Updated 5 years ago
- ☆23Updated 2 years ago
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆21Updated 4 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆55Updated 4 years ago
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆24Updated 3 years ago
- Performant, differentiable reinforcement learning☆23Updated 2 years ago
- ☆112Updated 4 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 4 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Updated 5 months ago
- Optimal Control Tutorials☆15Updated 5 years ago
- ☆18Updated 5 years ago
- Stanford PhD Thesis☆18Updated 2 years ago
- Structured framework for learning mechanical systems in PyTorch☆27Updated 6 years ago