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AI in Human-computer Gaming: Techniques, Challenges and Opportunities

AI in Human-computer Gaming: Techniques, Challenges and Opportunities

15 November 2021
Qiyue Yin
Jun Yang
Kaiqi Huang
Meijing Zhao
Wancheng Ni
Bin Liang
Yan Huang
Shu Wu
Liangsheng Wang
ArXivPDFHTML

Papers citing "AI in Human-computer Gaming: Techniques, Challenges and Opportunities"

3 / 3 papers shown
Title
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player
  Multi-Agent Learning Toolbox
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
Qiyue Yin
Tongtong Yu
S. Shen
Jun Yang
Meijing Zhao
Kaiqi Huang
Bin Liang
Liangsheng Wang
OffRL
20
13
0
01 Dec 2022
M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion
  Parameter Pretraining
M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining
Junyang Lin
An Yang
Jinze Bai
Chang Zhou
Le Jiang
...
Jie M. Zhang
Yong Li
Wei Lin
Jingren Zhou
Hongxia Yang
MoE
92
43
0
08 Oct 2021
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,450
0
18 Mar 2020
1