ivandariojr / LyapunovLearningLinks
☆43Updated 2 years ago
Alternatives and similar repositories for LyapunovLearning
Users that are interested in LyapunovLearning are comparing it to the libraries listed below
Sorting:
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 3 years ago
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆36Updated 2 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 4 years ago
- Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.☆67Updated last year
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆30Updated last year
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆52Updated 3 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 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
- Nonparametric Differential Equation Modeling☆54Updated last year
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- [ICLR 2022] Path integral sampler☆50Updated 2 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 3 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 2 years ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- ☆36Updated 2 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 4 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 5 months ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆19Updated 2 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 4 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 4 years ago
- ☆14Updated 2 years ago
- Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)☆25Updated 3 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 2 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated 2 years ago
- ☆45Updated 4 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 6 months ago
- Performant, differentiable reinforcement learning☆123Updated 3 weeks ago
- ☆35Updated 3 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆51Updated 2 years ago