activity
20152026
most citedA Fast Proximal Point Method for Computing Exact Wasserstein Distance

76 citations · 233 across the 46 of their papers we have counts for

collaborators
Showing cs.AIShow all

8 papers · 1 filter

cs.AI2026

PATH-Bench: Path-Dependent Evaluation of Lifelong Agents

Xidong Yang, Xingyi Zhang, Wenhao Li +7

Lifelong LLM agents increasingly adapt through external learning states that store past interactions as retrievable memories or reusable skills, yet existing benchmarks rarely acco…

cs.AI2026

AgentSchool: An LLM-Powered Multi-Agent Simulation for Education

Yulei Ye, Wenhao Li, Zhong Wen +23

Despite the rapid deployment of LLMs into classrooms, validating educational AI remains uniquely intractable: interventions act on developing learners whose cognitive and social tr…

cs.AI2026

See, Plan, Snap: Evaluating Multimodal GUI Agents in Scratch

Xingyi Zhang, Yulei Ye, Kaifeng Huang +2

Block-based programming environments such as Scratch play a central role in low-code education, yet evaluating the capabilities of AI agents to construct programs through Graphical…

cs.AI2025

Agentic Episodic Control

Xidong Yang, Wenhao Li, Junjie Sheng +4

Reinforcement learning (RL) remains fundamentally limited by poor data efficiency and weak generalization. Prior episodic RL methods attempt to alleviate this via external memory m…

cs.AI2025

Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding

Shiyue Wang, Haozheng Xu, Yuhan Zhang +4

Multi-Agent Path Finding (MAPF) is a fundamental problem in artificial intelligence and robotics, requiring the computation of collision-free paths for multiple agents navigating f…

cs.AI2025★ 1 cited

A Survey of Automatic Prompt Engineering: An Optimization Perspective

Wenwu Li, Xiangfeng Wang, Wenhao Li +1

The rise of foundation models has shifted focus from resource-intensive fine-tuning to prompt engineering, a paradigm that steers model behavior through input design rather than we…

cs.AI2023

Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym

Junjie Sheng, Zixiao Huang, Chuyun Shen +5

The formidable capacity for zero- or few-shot decision-making in language agents encourages us to pose a compelling question: Can language agents be alternatives to PPO agents in t…

cs.AI2023

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization

Junjie Sheng, Wenhao Li, Bo Jin +3

Over-generalization is a thorny issue in cognitive science, where people may become overly cautious due to past experiences. Agents in multi-agent reinforcement learning (MARL) als…