activity
20242026
collaborators

8 papers

q-bio.NC2026

The Morality Game: An online multiplayer platform to standardize, expedite, and expand research on cooperation

Gregory N. Stanley, Alan Yang, Liam Tsimhoni +12

This paper presents the Morality Game, a platform designed to standardize and accelerate research on cooperation and morality through game theory-based experiments. The Morality Ga…

cs.GT2025

Optimal Auction Design in the Joint Advertising

Yang Li, Yuchao Ma, Qi Qi

Online advertising is a vital revenue source for major internet platforms. Recently, joint advertising, which assigns a bundle of two advertisers in an ad slot instead of allocatin…

cs.MA2025

Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork

Jianhong Wang, Yang Li, Samuel Kaski +1

Open multi-agent systems are increasingly important in modeling real-world applications, such as smart grids, swarm robotics, etc. In this paper, we aim to investigate a recently p…

cs.MA2025

Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning

Tianyu Ren, Xuan Yao, Yang Li +1

Reputation serves as a powerful mechanism for promoting cooperation in multi-agent systems, as agents are more inclined to cooperate with those of good social standing. While exist…

cs.CL2024

SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent

Jiarui Ji, Yang Li, Hongtao Liu +5

Public scarce resource allocation plays a crucial role in economics as it directly influences the efficiency and equity in society. Traditional studies including theoretical model-…

cs.LG2024

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning

Tenglong Liu, Yang Li, Yixing Lan +3

In offline reinforcement learning, the challenge of out-of-distribution (OOD) is pronounced. To address this, existing methods often constrain the learned policy through policy reg…

cs.MA2024

Open Ad Hoc Teamwork with Cooperative Game Theory

Jianhong Wang, Yang Li, Yuan Zhang +2

Ad hoc teamwork poses a challenging problem, requiring the design of an agent to collaborate with teammates without prior coordination or joint training. Open ad hoc teamwork (OAHT…

cs.MA2024

Aligning Individual and Collective Objectives in Multi-Agent Cooperation

Yang Li, Wenhao Zhang, Jianhong Wang +4

Among the research topics in multi-agent learning, mixed-motive cooperation is one of the most prominent challenges, primarily due to the mismatch between individual and collective…