Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Hu, Shuyue"'
Autor:
Wang, Zhen, Song, Ruiqi, Shen, Chen, Yin, Shiya, Song, Zhao, Battu, Balaraju, Shi, Lei, Jia, Danyang, Rahwan, Talal, Hu, Shuyue
In social dilemmas where the collective and self-interests are at odds, people typically cooperate less with machines than with fellow humans, a phenomenon termed the machine penalty. Overcoming this penalty is critical for successful human-machine c
Externí odkaz:
http://arxiv.org/abs/2410.03724
A stylized experiment, the public goods game, has taught us the peculiar reproducible fact that humans tend to contribute more to shared resources than expected from economically rational assumptions. There have been two competing explanations for th
Externí odkaz:
http://arxiv.org/abs/2406.03796
Autor:
Li, Pengdeng, Li, Shuxin, Yang, Chang, Wang, Xinrun, Hu, Shuyue, Huang, Xiao, Chan, Hau, An, Bo
Decision-making problems, categorized as single-agent, e.g., Atari, cooperative multi-agent, e.g., Hanabi, competitive multi-agent, e.g., Hold'em poker, and mixed cooperative and competitive, e.g., football, are ubiquitous in the real world. Various
Externí odkaz:
http://arxiv.org/abs/2405.11746
This work designs and analyzes a novel set of algorithms for multi-agent reinforcement learning (MARL) based on the principle of information-directed sampling (IDS). These algorithms draw inspiration from foundational concepts in information theory,
Externí odkaz:
http://arxiv.org/abs/2404.19292
Social norms play a crucial role in guiding agents towards understanding and adhering to standards of behavior, thus reducing social conflicts within multi-agent systems (MASs). However, current LLM-based (or generative) MASs lack the capability to b
Externí odkaz:
http://arxiv.org/abs/2403.08251
The study of cooperation within social dilemmas has long been a fundamental topic across various disciplines, including computer science and social science. Recent advancements in Artificial Intelligence (AI) have significantly reshaped this field, o
Externí odkaz:
http://arxiv.org/abs/2402.17270
Publikováno v:
EPL, 144 (2023) 11002
Committed individuals, who features steadfast dedication to advocating strong beliefs, values, and preferences, have garnered much attention across statistical physics, social science, and computer science. This survey delves into the profound impact
Externí odkaz:
http://arxiv.org/abs/2307.14221
Publikováno v:
Iscience, 26 (11) 2023
Cooperation is a vital social behavior that plays a crucial role in human prosperity, enabling conflict resolution and averting disastrous outcomes. With the increasing presence of autonomous agents (AAs), human-agent interaction becomes more frequen
Externí odkaz:
http://arxiv.org/abs/2307.01123
The effect of population heterogeneity in multi-agent learning is practically relevant but remains far from being well-understood. Motivated by this, we introduce a model of multi-population learning that allows for heterogeneous beliefs within each
Externí odkaz:
http://arxiv.org/abs/2301.04929
Although learning has found wide application in multi-agent systems, its effects on the temporal evolution of a system are far from understood. This paper focuses on the dynamics of Q-learning in large-scale multi-agent systems modeled as population
Externí odkaz:
http://arxiv.org/abs/2203.01500