sebastian-east / dare-torch
Implementation of a differetiable discrete-time algebraic Riccati equation (DARE) solver in PyTorch.
☆11Updated 2 years ago
Alternatives and similar repositories for dare-torch
Users that are interested in dare-torch are comparing it to the libraries listed below
Sorting:
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆84Updated 2 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Input Inference for Control (i2c), a control-as-inference framework for optimal control☆23Updated last year
- A toolbox for trajectory optimization of dynamical systems☆53Updated 2 years ago
- Implementation of robust adaptive control methods for the linear quadratic regulator☆38Updated 3 years ago
- Safe Exploration with MPC and Gaussian process models☆90Updated 4 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆46Updated 3 years ago
- ☆30Updated last year
- ☆35Updated 5 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- ☆21Updated 6 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆52Updated last year
- Enforcing robust control guarantees within neural network policies☆53Updated 4 years ago
- Google AI Princeton control framework☆38Updated 4 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 5 years ago
- Working directory for dynamics learning for experimental robots.☆56Updated 4 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆69Updated 5 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆136Updated 2 years ago
- ☆212Updated last year
- This repository contains all code and experiments for competitive policy gradient (CoPG) algorithm.☆24Updated 4 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆132Updated 4 years ago
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆14Updated 5 years ago
- ☆24Updated 4 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 3 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 3 years ago
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆35Updated 2 years ago
- A framework for neural network control of dynamical systems over graphs.☆58Updated 2 years ago
- Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.☆66Updated last year
- Safe exploration in Markov Decision Processes☆37Updated 7 years ago