IEEE

A Decomposition Optimization-Based Multiobjective Reinforcement Learning Algorithm for Obtaining Nonconvex Pareto Fronts

Abstract: Multiobjective reinforcement learning (MORL) aims to seek a complete Pareto front (PF) with different compromise policies in multiobjective Markov decision processes (MOMDPs). However, most ...
IEEE

Intelligent Eco-Driving Control for Urban CAVs Using a Model-Based Controller Assisted Deep Reinforcement Learning

Abstract: Eco-driving control for connected and automated vehicles (CAVs) aims to co-optimize energy efficiency, ride comfort, and travel time while adhering to safety regulations. Model-based ...
C&EN

Water-Based Pharmacophore Modeling in Kinase Inhibitor Design: A Case Study on Fyn and Lyn Protein Kinases

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Water-based pharmacophore modeling is an emerging approach in inhibitor design that ...
Frontiers

Plug-and-play low-rank tensor completion and reconstruction algorithms with improved applicability of tensor decompositions

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In this paper, we propose a new unified optimization ...