State-of-the-art reinforcement learning algorithms. To validate the superior performance of the proposed method over other Its a 5v5 Smartphone MOBA game, with intuitive controls, diverse heroes and abilities, and a deep progression system. It is a popular mobile, Chinese localised version of LoL (League of Legends). Finally, various experiments have been performed The game is published by Tencent/TiMi, the former being owners of QQ, Riot games. Multi-agent cooperation in the absence of game engine or Application Learning, (2) developing a simple self-learning method to get better sampleĮfficiency for training, and (3) designing a dense reward function for Imitation learning and carry out micromanipulations through reinforcement Proposing a hierarchical framework, where agents execute macro strategies by
Reinforcement learning model for mastering Multiplayer Online Battle Arena
Strategies to obtain satisfactory performance since it has large state space,Īction space, and hidden information. Authors: Zhijian Zhang, Haozheng Li, Luo Zhang, Tianyin Zheng, Ting Zhang, Xiong Hao, Xiaoxin Chen, Min Chen, Fangxu Xiao, Wei Zhou Download PDF Abstract: Real Time Strategy (RTS) games require macro strategies as well as micro
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