5 papers · 1 filter
Learning Truthful Mechanisms without Discretization
Yunxuan Ma, Siqiang Wang, Zhijian Duan +2
This paper introduces TEDI (Truthful, Expressive, and Dimension-Insensitive approach), a discretization-free algorithm to learn truthful and utility-maximizing mechanisms. Existing…
Mechanism Design for Auctions with Externalities on Budgets
Yusen Zheng, Yukun Cheng, Chenyang Xu +1
This paper studies mechanism design for auctions with externalities on budgets, a novel setting where the budgets that bidders commit are adjusted due to the externality of the com…
Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach
Jichen Li, Lijia Xie, Hanting Huang +5
Strategic mining attacks, such as selfish mining, exploit blockchain consensus protocols by deviating from honest behavior to maximize rewards. Markov Decision Process (MDP) analys…
Networked Digital Public Goods Games with Heterogeneous Players and Convex Costs
Yukun Cheng, Xiaotie Deng, Yunxuan Ma
In the digital age, resources such as open-source software and publicly accessible databases form a crucial category of digital public goods, providing extensive benefits for Inter…
Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers
Haoran Sun, Yusen Wu, Peng Wang +4
Game theory is a foundational framework for analyzing strategic interactions, and its intersection with large language models (LLMs) is a rapidly growing field. However, existing s…