Reinforcement learning (RL) has shown promising results for real-time co...
The recent phenomenal success of language models has reinvigorated machi...
We present an algorithm for local, regularized, policy improvement in
re...
Many real-world control problems involve both discrete decision variable...
The naive application of Reinforcement Learning algorithms to continuous...
This paper presents a novel nonlinear disturbance rejection control for
...
We present ConFusion, an open-source package for online sensor fusion fo...
This paper presents a state and state-input constrained variant of the
d...
We introduce the Control Toolbox (CT), an open-source C++ library for
ef...
In this work we present a whole-body Nonlinear Model Predictive Control
...
This paper introduces a family of iterative algorithms for unconstrained...
We introduce a real-time, constrained, nonlinear Model Predictive Contro...