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Pytorch implementation of Model Predictive Control with learned models
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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A curated list of awesome model based RL resources (continually updated)
Library for Model Based RL
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Differential Wheeled Mobile Robot - Nonlinear Model Predictive Control based on ROS
Official implementation for the paper "Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing". DIAL-MPC is a novel sampling-based MPC framework for legged robot full-order torque-level control with both precision and agility in a training-free manner.
Deep RL for MPC control of Quadruped Robot Locomotion
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.