Efficient Model-Based Deep Reinforcement Learning with Predictive Control: Developed a Model-Based RL algorithm using MPC, achieving convergence in 200 episodes (best case) and 1000 episodes on ...
Abstract: This letter analyzes the contraction property of the nonlinear systems controlled by suboptimal model predictive control (MPC) using the continuation method. We propose a contraction metric ...
With high-sensitivity and strong negative predictive value, this artificial intelligence (AI)-powered tool enhances early colorectal cancer (CRC) detection and risk stratification in primary care.