activity
20202026
most citedAlgorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory

12 citations · 21 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

ShuttleEnv: An Interactive Data-Driven RL Environment for Badminton Strategy Modeling

Ang Li, Xinyang Gong, Bozhou Chen +5

We present ShuttleEnv, an interactive and data-driven simulation environment for badminton, designed to support reinforcement learning and strategic behavior analysis in fast-paced…

cs.AI2026

BotzoneBench: Scalable LLM Evaluation via Graded AI Anchors

Lingfeng Li, Yunlong Lu, Yuefei Zhang +7

Large Language Models (LLMs) are increasingly deployed in interactive environments requiring strategic decision-making, yet systematic evaluation of these capabilities remains chal…

cs.AI2026

Adapting Rules of Official International Mahjong for Online Players

Chucai Wang, Lingfeng Li, Yunlong Lu +1

As one of the worldwide spread traditional game, Official International Mahjong can be played and promoted online through remote devices instead of requiring face-to-face interacti…

cs.AI2025

Policy Improvement with Style-Specific Demonstrations

Lingfeng Li, Yunlong Lu, Yongyi Wang +1

Proficient game agents with diverse play styles enrich the gaming experience and enhance the replay value of games. However, recent advancements in game AI based on reinforcement l…

cs.AI2025★ 1 cited

Mxplainer: Explain and Learn Insights by Imitating Mahjong Agents

Lingfeng Li, Yunlong Lu, Yongyi Wang +2

People need to internalize the skills of AI agents to improve their own capabilities. Our paper focuses on Mahjong, a multiplayer game involving imperfect information and requiring…