Diverse Behavior Is What Game AI Needs: Generating Varied Human-Like Playing Styles Using Evolutionary Multi-Objective Deep Reinforcement Learning

Autor:	Shen, Ruimin, Zheng, Yan, Hao, Jianye, Chen, Yinfeng, Fan, Changjie
Rok vydání:	2019
Předmět:	Computer Science - Machine Learning Statistics - Machine Learning
Druh dokumentu:	Working Paper
Popis:	this paper has been withdrawn Comment: 1. there is some discrepancy between some contributors with respect to the order of the authors; 2. the paper is rather "raw" - significant effort and improvement in terms of the paper's language and structure are needed to make it ready for publication
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1910.09022 Zobrazit plný text záznamu View this record from Arxiv