Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nieves, Nicolas Perez"'
Autor:
Nieves, Nicolas Perez, Yang, Yaodong, Slumbers, Oliver, Mguni, David Henry, Wen, Ying, Wang, Jun
Promoting behavioural diversity is critical for solving games with non-transitive dynamics where strategic cycles exist, and there is no consistent winner (e.g., Rock-Paper-Scissors). Yet, there is a lack of rigorous treatment for defining diversity
Externí odkaz:
http://arxiv.org/abs/2103.07927
Autor:
Dinh, Le Cong, Yang, Yaodong, McAleer, Stephen, Tian, Zheng, Nieves, Nicolas Perez, Slumbers, Oliver, Mguni, David Henry, Ammar, Haitham Bou, Wang, Jun
Publikováno v:
Transactions on Machine Learning Research 2022
Solving strategic games with huge action space is a critical yet under-explored topic in economics, operations research and artificial intelligence. This paper proposes new learning algorithms for solving two-player zero-sum normal-form games where t
Externí odkaz:
http://arxiv.org/abs/2103.07780
Autor:
Zhou, Ming, Luo, Jun, Villella, Julian, Yang, Yaodong, Rusu, David, Miao, Jiayu, Zhang, Weinan, Alban, Montgomery, Fadakar, Iman, Chen, Zheng, Huang, Aurora Chongxi, Wen, Ying, Hassanzadeh, Kimia, Graves, Daniel, Chen, Dong, Zhu, Zhengbang, Nguyen, Nhat, Elsayed, Mohamed, Shao, Kun, Ahilan, Sanjeevan, Zhang, Baokuan, Wu, Jiannan, Fu, Zhengang, Rezaee, Kasra, Yadmellat, Peyman, Rohani, Mohsen, Nieves, Nicolas Perez, Ni, Yihan, Banijamali, Seyedershad, Rivers, Alexander Cowen, Tian, Zheng, Palenicek, Daniel, Ammar, Haitham bou, Zhang, Hongbo, Liu, Wulong, Hao, Jianye, Wang, Jun
Multi-agent interaction is a fundamental aspect of autonomous driving in the real world. Despite more than a decade of research and development, the problem of how to competently interact with diverse road users in diverse scenarios remains largely u
Externí odkaz:
http://arxiv.org/abs/2010.09776
Autor:
Dinh, Le Cong, Yang, Yaodong, McAleer, Stephen, Tian, Zheng, Nieves, Nicolas Perez, Slumbers, Oliver, Mguni, David Henry, Ammar, Haitham Bou, Wang, Jun
Solving strategic games with huge action space is a critical yet under-explored topic in economics, operations research and artificial intelligence. This paper proposes new learning algorithms for solving two-player zero-sum normal-form games where t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f0d36f0bf59a8b453bbefe580c7de3c
https://eprints.soton.ac.uk/471822/
https://eprints.soton.ac.uk/471822/