lqg
Optimal control software
A package implementing inverse optimal control for continuous psychophysics, allowing users to define and simulate optimal control models
Inverse optimal control for continuous psychophysics
23 stars
2 watching
8 forks
Language: Jupyter Notebook
last commit: 10 months ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
anassinator/ilqr | An implementation of a control algorithm for optimizing complex systems with non-linear dynamics and constraints. | 386 |
qucontrol/krotov | Provides a Python implementation of Krotov's method for optimizing quantum control | 70 |
zhengyaojiang/pgportfolio | A software toolkit implementing a novel reinforcement learning framework for portfolio management with policy optimization and financial-model-based algorithms. | 1,751 |
loco-3d/crocoddyl | An optimal control library for robot motion planning and control under contact sequences | 848 |
fdevinc/ungar | A C++ project that simplifies optimal control using metaprogramming | 96 |
zuoxingdong/lagom | A modular toolkit for rapid prototyping of reinforcement learning algorithms | 373 |
ikostrikov/pytorch-ddpg-naf | An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. | 307 |
locuslab/qpth | A solver for optimizing quadratic programs in deep learning and other fields. | 685 |
ikostrikov/pytorch-trpo | A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks | 433 |
q-optimize/c3 | Toolset for optimizing and calibrating physical systems using machine learning and quantum computing | 67 |
lanl/scico | A software package for solving inverse problems in scientific imaging applications. | 105 |
ethz-adrl/control-toolbox | An open-source C++ library for efficient control and estimation of dynamic systems in robotics | 1,469 |
osqp/osqpth | A PyTorch module that wraps the OSQP solver for differentiable optimization problems | 59 |
rajesh-siraskar/reinforcement-learning-for-control-of-valves | Develops and tests a reinforcement learning-based control system for non-linear valve models using Deep Deterministic Policy-Gradient algorithm | 78 |
pyomeca/bioptim | An optimization framework for biomechanics and control problems using multiple algorithms and libraries. | 93 |