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.
☆36Updated 2 years ago
Alternatives and similar repositories for DiffCoSim
Users that are interested in DiffCoSim are comparing it to the libraries listed below
Sorting:
- Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.☆67Updated last year
- ☆35Updated 3 years ago
- ☆43Updated 2 years ago
- Contact-Aware Symplectic Integrator Network☆15Updated 2 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 3 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 4 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆52Updated 3 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆19Updated 2 years ago
- A differentiable simulator for robotic systems.☆31Updated 3 years ago
- ☆20Updated 2 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆30Updated last year
- Performant, differentiable reinforcement learning☆24Updated 2 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆53Updated 3 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆90Updated 4 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.☆26Updated 4 years ago
- A brief JAX tutorial with examples from control theory☆12Updated 2 years ago
- Supplementary Material "Co-Design Optimisation of Morphing Topology and Control of Winged Drones" published in IEEE 2024 International Co…☆18Updated 9 months ago
- ☆110Updated 4 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
- Model-based reinforcement learning in TensorFlow☆56Updated 4 years ago
- Accelerating Quadratic Optimization with Reinforcement Learning☆92Updated 3 years ago
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆20Updated 4 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 2 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆57Updated last month
- Structured framework for learning mechanical systems in PyTorch☆26Updated 6 years ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆51Updated 2 years ago
- Stanford PhD Thesis☆18Updated 2 years ago
- ☆222Updated last year
- [ICLR 2022] Path integral sampler☆50Updated 2 years ago