Pinned Repositories
acados
Fast and embedded solvers for nonlinear optimal control
acados
Fast and embedded solvers for nonlinear optimal control
hpipm
High-performance interior-point-method QP solvers
learning-nmpc-q-loss
Imitation Learning from NMPC via acados and PyTorch
nosnoc_py
safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
hpipm
High-performance interior-point-method QP and QCQP solvers
CAMINO
Python-CasADi-based package containing several algorithms for solving mixed-integer nonlinear programs (MINLPs)
safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
aghezz1's Repositories
aghezz1/learning-nmpc-q-loss
Imitation Learning from NMPC via acados and PyTorch
aghezz1/acados
Fast and embedded solvers for nonlinear optimal control
aghezz1/hpipm
High-performance interior-point-method QP solvers
aghezz1/nosnoc_py
aghezz1/safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL