The Lancet

Adaptive deep brain stimulation in Parkinson's disease

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...
IEEE

Energy Management of Multi-Energy Communities: A Hierarchical MIQP-Constrained Deep Reinforcement Learning Approach

Abstract: This paper proposes a hybrid mixed-integer quadratic programming-constrained deep reinforcement learning (MIQP-CDRL) framework for energy management of multi-energy communities. The ...
IEEE

Update-Aware Robust Optimal Model Predictive Control for Nonlinear Systems

Abstract: Robust optimal or min-max model predictive control (MPC) approaches aim to guarantee constraint satisfaction over a known, bounded uncertainty set while minimizing a worst-case performance ...
GitHub

Codebase for paper Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation.

You can set up the environment using the environment.yml (the requirement is the same as [DDRM]: https://github.com/bahjat-kawar/ddrm). Run conda env create -f ...