reinforcement learning

Bridging Offline and Online Multi-Objective Reinforcement Learning

Bio-inspired exploration of butterfly wing morphology guides deep reinforcement learning optimization of robotic flight

How wing morphology shapes flight performance is a central question in functional biology and bio-inspired robotics, yet these relationships are difficult to isolate in living organisms. Here, we use a robotic butterfly with tunable wing geometry to systematically characterize morphology–performance relationships by co...

Bayesian Black-Litterman under Nonlinear Dependence: A Hybrid Framework with GARCH-EVT Marginals, R-Vine Copulas, and Reinforcement Learning for Tactical Portfolio Allocation

Generative Artificial Intelligence-Driven Enterprise Knowledge Base

As enterprises generate vast amounts of heterogeneous knowledge, existing knowledge management systems face challenges in providing contextually relevant, accurate, and domain-specific answers. To address these issues, the authors propose KQGen, a unified framework that integrates knowledge graph embeddings with genera...

Multiagent rendezvous in fluid flows via reinforcement learning

Delay-aware multi-agent reinforcement learning for mixed-autonomy platoon control

It is recognized that controlling mixed-autonomy platoons comprising connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) can enhance traffic flow. While multi-agent reinforcement learning (MARL) is a promising real-time control paradigm, existing MARL-based platoon controllers rarely account for co...

Intelligent planning and scheduling system for supply chain logistics routes based on reinforcement learning

The optimization of logistics routing and scheduling in supply chains is a critical challenge, particularly in dynamic environments characterized by fluctuating demand, traffic conditions, and stringent time-capacity constraints. Traditional optimization methods and heuristic-based approaches often struggle to adapt an...

Reinforcement Learning vs. MILP: Benchmarking a User-Centered Optimization Agent for Emissions-Aware V2G Energy Arbitrage

A Data-Driven Framework for Sensor-based Anomaly Analysis and Predictive Microclimate Control in Small-scale Potato Storage

Postharvest losses during potato storage remain a serious problem, especially for small-scale storage facilities with limited automation, monitoring, and energy resources. This paper proposes a data-driven cyber-physical framework for sensor-based microclimate analysis and predictive management of small-scale potato st...

Site-Specific Architectural Design of Multi-Story Residential Buildings with Hierarchical Expert Iteration

Purpose: Residential floor-plan design is a combinatorial problem without a closed-form solution. Deep generative models mostly produce images or coarse room boxes of single-story apartments without reference to the plot, and general-purpose large language models lack robust geometric reasoning. We investigate how prel...

ADHD symptoms and efficient learning strategies in college students: the parallel mediating roles of motivation and mind-wandering

A questionnaire survey was conducted among college students from a university in Sichuan Province to examine the relationship between ADHD symptoms and the use of efficient learning strategies, with a focus on the parallel mediating roles of learning motivation and mind-wandering. Of the 919 questionnaires distributed,...

Supervisory Reinforcement Learning for Remote PID Gain Tuning in a Networked Embedded Control System