Lab-in-the-loop framework enables rapid evolution of complex multi-mutant proteins

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
IEEE

Iterative Learning-Based Arbitration in Shared Vehicle Control: Methodological Formulation and Driver-in-the-Loop Results

Abstract: Shared control, which merges the dynamic inputs of human drivers with vehicle automation, has attracted considerable attention due to its potential to enhance both safety and driver ...
IEEE

Adjustable Iterative Q-Learning Schemes for Model-Free Optimal Tracking Control

Abstract: This article puts emphasis on the deterministic value-iteration-based $Q$ -learning (VIQL) algorithm with adjustable convergence speed, followed by the ...