A platform for reproducible world model research and evaluation
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
Reinforcement Learning with Model Predictive Control
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models.
Exploring Learning and Optimization for Robot Motion Planning and Control.