paulxshen / neural-ode-cartpoleLinks
☆24Updated 4 years ago
Alternatives and similar repositories for neural-ode-cartpole
Users that are interested in neural-ode-cartpole are comparing it to the libraries listed below
Sorting:
- ☆38Updated 3 years ago
- Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248☆16Updated last year
- Nonparametric Differential Equation Modeling☆53Updated last year
- ☆29Updated 2 years ago
- ☆19Updated 3 years ago
- Deep variational Bayes filter in julia using Flux☆14Updated 4 years ago
- Combinatorial optimization layers for machine learning pipelines☆125Updated this week
- Implementation of the Deep Q-learning algorithm to solve MDPs☆75Updated 6 months ago
- Data-driven dynamical systems toolbox.☆74Updated 2 months ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- A one-stop package for different reinforcement learning environments☆58Updated 4 years ago
- I used to drink coffee a lot. But oolong has become my favorite recently. Hope you like it too.🫖☆12Updated 3 years ago
- A meta-package for the Lyceum ecosystem.☆27Updated 5 years ago
- Monte Carlo Tree Search for Markov decision processes using the POMDPs.jl framework☆79Updated 5 months ago
- A Julia package for constrained trajectory optimization using direct methods.☆29Updated 3 years ago
- ☆53Updated 4 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆46Updated 3 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Port-Hamiltonian Approach to Neural Network Training☆24Updated 5 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆69Updated last month
- Simple particle filter implementation in Julia - works with POMDPs.jl models or others.☆47Updated 2 months ago
- Differentiating convex optimization programs w.r.t. program parameters☆131Updated last week
- ☆32Updated 3 weeks ago
- Differentiation through cone programs☆101Updated 5 months ago
- A gallery of POMDPs.jl problems☆48Updated 10 months ago
- Julia library for deep reinforcement learning☆62Updated 4 months ago
- ☆45Updated 3 years ago
- Gaussian Process package based on data augmentation, sparsity and natural gradients☆137Updated last year
- Mathematical Programming in JAX☆87Updated last month