Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox

no code implementations • 1 Dec 2022 • Qiyue Yin, Tongtong Yu, Shengqi Shen, Jun Yang, Meijing Zhao, Kaiqi Huang, Bin Liang, Liang Wang

With the breakthrough of AlphaGo, deep reinforcement learning becomes a recognized technique for solving sequential decision-making problems.

Decision Making reinforcement-learning +1

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

no code implementations • 15 Nov 2021 • Qiyue Yin, Jun Yang, Kaiqi Huang, Meijing Zhao, Wancheng Ni, Bin Liang, Yan Huang, Shu Wu, Liang Wang

Through this survey, we 1) compare the main difficulties among different kinds of games and the corresponding techniques utilized for achieving professional human level AIs; 2) summarize the mainstream frameworks and techniques that can be properly relied on for developing AIs for complex human-computer gaming; 3) raise the challenges or drawbacks of current techniques in the successful AIs; and 4) try to point out future trends in human-computer gaming AIs.

Decision Making

Cluster-Gated Convolutional Neural Network for Short Text Classification

no code implementations • CONLL 2019 • Haidong Zhang, Wancheng Ni, Meijing Zhao, Ziqi Lin

Text classification plays a crucial role for understanding natural language in a wide range of applications.

Clustering General Classification +2