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Which Heroes to Pick? Learning to Draft in MOBA Games with Neural
  Networks and Tree Search
v1v2v3v4 (latest)

Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search

IEEE Transactions on Games (IEEE Trans. Games), 2020
18 December 2020
Sheng Chen
Menghui Zhu
Deheng Ye
Weinan Zhang
Qiang Fu
Wei Yang
ArXiv (abs)PDFHTML

Papers citing "Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search"

11 / 11 papers shown
A Survey on Self-play Methods in Reinforcement Learning
A Survey on Self-play Methods in Reinforcement Learning
Chao Yu
Zelai Xu
Chengdong Ma
Chao Yu
Weijuan Tu
...
Deheng Ye
Wenbo Ding
Wenbo Ding
Yu Wang
Yu Wang
SyDaSSLOnRL
740
29
0
02 Aug 2024
Mini Honor of Kings: A Lightweight Environment for Multi-Agent
  Reinforcement Learning
Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning
Lin Liu
Jian Zhao
Cheng Hu
Zhengtao Cao
Youpeng Zhao
...
Wenjun Wang
Zhaofeng He
Houqiang Li
Xia Lin
Lanxiao Huang
OffRLSyDa
318
0
0
06 Jun 2024
BPCoach: Exploring Hero Drafting in Professional MOBA Tournaments via
  Visual Analytics
BPCoach: Exploring Hero Drafting in Professional MOBA Tournaments via Visual Analytics
Shiyi Liu
Ruofei Ma
Chuyi Zhao
Zhenbang Li
Jianpeng Xiao
Quan Li
155
4
0
10 Nov 2023
Pretraining in Deep Reinforcement Learning: A Survey
Pretraining in Deep Reinforcement Learning: A Survey
Zhihui Xie
Zichuan Lin
Junyou Li
Shuai Li
Deheng Ye
OffRLOnRLAI4CE
278
33
0
08 Nov 2022
Revisiting Discrete Soft Actor-Critic
Revisiting Discrete Soft Actor-Critic
Haibin Zhou
Zichuan Lin
Junyou Li
Qiang Fu
Wei Yang
Deheng Ye
458
18
0
21 Sep 2022
Honor of Kings Arena: an Environment for Generalization in Competitive
  Reinforcement Learning
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Hua Wei
Jingxiao Chen
Xiyang Ji
Hongyang Qin
Minwen Deng
...
Lin Liu
Lanxiao Huang
Deheng Ye
Qiang Fu
Wei Yang
256
41
0
18 Sep 2022
Dynamics-Adaptive Continual Reinforcement Learning via Progressive
  Contextualization
Dynamics-Adaptive Continual Reinforcement Learning via Progressive ContextualizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Tiantian Zhang
Zichuan Lin
Yuxing Wang
Deheng Ye
Qiang Fu
Wei Yang
Xueqian Wang
Bin Liang
Bo Yuan
Xiu Li
CLL
247
20
0
01 Sep 2022
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent
  Reinforcement Learning
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement LearningIEEE Transactions on Games (IEEE Trans. Games), 2022
Jian Zhao
Xu Hu
Mingyu Yang
Wen-gang Zhou
Jiangcheng Zhu
Houqiang Li
OffRL
170
29
0
16 Mar 2022
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical
  Reinforcement Learning
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin
Junyou Li
Jianing Shi
Deheng Ye
Qiang Fu
Wei Yang
BDL
279
41
0
07 Dec 2021
Learning Diverse Policies in MOBA Games via Macro-Goals
Learning Diverse Policies in MOBA Games via Macro-Goals
Yiming Gao
Bei Shi
Xueying Du
Liang Wang
Guangwei Chen
...
Weixuan Wang
Deheng Ye
Qiang Fu
Wei Yang
Lanxiao Huang
211
15
0
27 Oct 2021
Boosting Offline Reinforcement Learning with Residual Generative
  Modeling
Boosting Offline Reinforcement Learning with Residual Generative ModelingInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Hua Wei
Deheng Ye
Zhao Liu
Hao Wu
Bo Yuan
Qiang Fu
Wei Yang
Ruoyao Xiao
OffRL
337
10
0
19 Jun 2021
1
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