3 papers
cs.AI2026
A Distributionally Robust Reinforcement Learning Framework for Constrained Urban EV Dispatch
An Nguyen, Hoang Nguyen, Phuong Le +3
We study city-scale control of electric-vehicle (EV) ride-hailing fleets where dispatch, repositioning, and charging decisions must respect charger and feeder limits under uncertai…
cs.AI2026
ByteRover: Agent-Native Memory Through LLM-Curated Hierarchical Context
Andy Nguyen, Danh Doan, Hoang Pham +8
Memory-Augmented Generation (MAG) extends large language models with external memory to support long-context reasoning, but existing approaches universally treat memory as an exter…
eess.SY2025
A Cost-Optimization Model for EV Charging Stations Utilizing Solar Energy and Variable Pricing
An Nguyen, Hung Pham, Cuong Do
This paper presents a cost optimization framework for electric vehicle (EV) charging stations that leverages on-site photovoltaic (PV) generation and explicitly accounts for electr…