activity
20232026
most citedAI Agent as Urban Planner: Steering Stakeholder Dynamics in Urban Planning via Consensus-based Multi-Agent Reinforcement Learning

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MA2026

From Idea to Co-Creation: A Planner-Actor-Critic Framework for Agent Augmented 3D Modeling

Jin Gao, Saichandu Juluri

We present a framework that extends the Actor-Critic architecture to creative 3D modeling through multi-agent self-reflection and human-in-the-loop supervision. While existing appr…

cs.AI2025

Agentic Lybic: Multi-Agent Execution System with Tiered Reasoning and Orchestration

Liangxuan Guo, Bin Zhu, Qingqian Tao +5

Autonomous agents for desktop automation struggle with complex multi-step tasks due to poor coordination and inadequate quality control. We introduce Agentic Lybic, a novel multi-a…

cs.CY2025

Deep and diverse population synthesis for multi-person households using generative models with conditional inputs

Hai Yang, Hongying Wu, Linfei Yuan +4

Traditional methods of population synthesis produce stable and interpretable populations but cannot capture the interrelationships between household- and individual-level attribute…

cs.CL2025

RAVine: Reality-Aligned Evaluation for Agentic Search

Yilong Xu, Xiang Long, Zhi Zheng +1

Agentic search, as a more autonomous and adaptive paradigm of retrieval augmentation, is driving the evolution of intelligent search systems. However, existing evaluation framework…

cs.AI2023★ 6 cited

AI Agent as Urban Planner: Steering Stakeholder Dynamics in Urban Planning via Consensus-based Multi-Agent Reinforcement Learning

Kejiang Qian, Lingjun Mao, Xin Liang +5

In urban planning, land use readjustment plays a pivotal role in aligning land use configurations with the current demands for sustainable urban development. However, present-day u…