关注
Yingfeng Chen(陈赢峰)
Yingfeng Chen(陈赢峰)
Fuxi AI Lab in Netease
在 mail.ustc.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Wuji: Automatic online combat game testing using evolutionary deep reinforcement learning
Y Zheng, X Xie, T Su, L Ma, J Hao, Z Meng, Y Liu, R Shen, Y Chen, C Fan
2019 34th IEEE/ACM International Conference on Automated Software …, 2019
702019
From few to more: Large-scale dynamic multiagent curriculum learning
W Wang, T Yang, Y Liu, J Hao, X Hao, Y Hu, Y Chen, C Fan, Y Gao
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7293-7300, 2020
472020
Robots serve humans in public places—KeJia robot as a shopping assistant
Y Chen, F Wu, W Shuai, X Chen
International Journal of Advanced Robotic Systems 14 (3), 1729881417703569, 2017
462017
Hierarchical Deep Multiagent Reinforcement Learning
H Tang, J Hao, T Lv, Y Chen, Z Zhang, H Jia, C Ren, Y Zheng, C Fan, ...
https://arxiv.org/abs/1809.09332, 2018
39*2018
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
H Fu, H Tang, J Hao, Z Lei, Y Chen, C Fan
https://arxiv.org/abs/1903.04959, 2019
342019
Learning to utilize shaping rewards: A new approach of reward shaping
Y Hu, W Wang, H Jia, Y Wang, Y Chen, J Hao, F Wu, C Fan
Advances in Neural Information Processing Systems 33, 15931-15941, 2020
332020
Kejia robot–an attractive shopping mall guider
Y Chen, F Wu, W Shuai, N Wang, R Chen, X Chen
International Conference on Social Robotics, 145-154, 2015
322015
Q-value path decomposition for deep multiagent reinforcement learning
Y Yang, J Hao, G Chen, H Tang, Y Chen, Y Hu, C Fan, Z Wei
International Conference on Machine Learning, 10706-10715, 2020
282020
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning.
R Shen, Y Zheng, J Hao, Z Meng, Y Chen, C Fan, Y Liu
IJCAI, 3371-3377, 2020
152020
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns
Y Liu, Y Hu, Y Gao, Y Chen, C Fan
IJCAI 2019, 2019
152019
Learning action-transferable policy with action embedding
Y Chen, Y Chen, Z Hu, T Yang, C Fan, Y Yu, J Hao
arXiv preprint arXiv:1909.02291, 2019
142019
Action semantics network: Considering the effects of actions in multiagent systems
W Wang, T Yang, Y Liu, J Hao, X Hao, Y Hu, Y Chen, C Fan, Y Gao
arXiv preprint arXiv:1907.11461, 2019
142019
The intelligent techniques in robot kejia–the champion of robocup@ home 2014
K Chen, D Lu, Y Chen, K Tang, N Wang, X Chen
Robot Soccer World Cup, 130-141, 2014
142014
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
X Liu, H Jia, Y Wen, Y Hu, Y Chen, C Fan, Z Hu, Y Yang
Advances in Neural Information Processing Systems 34, 941-952, 2021
13*2021
A probabilistic, variable-resolution and effective quadtree representation for mapping of large environments
Y Chen, W Shuai, X Chen
2015 International Conference on Advanced Robotics (ICAR), 605-610, 2015
122015
Efficient deep reinforcement learning via adaptive policy transfer
T Yang, J Hao, Z Meng, Z Zhang, Y Hu, Y Cheng, C Fan, W Wang, W Liu, ...
arXiv preprint arXiv:2002.08037, 2020
112020
Performance metrics for coverage of cleaning robots with mocap system
K Zheng, G Chen, G Cui, Y Chen, F Wu, X Chen
International conference on intelligent robotics and applications, 267-274, 2017
112017
Learn to effectively explore in context-based meta-rl
J Zhang, J Wang, H Hu, Y Chen, C Fan, C Zhang
arXiv preprint arXiv:2006.08170, 2020
10*2020
Efficient Deep Reinforcement Learning through Policy Transfer.
T Yang, J Hao, Z Meng, Z Zhang, Y Hu, Y Chen, C Fan, W Wang, Z Wang, ...
AAMAS, 2053-2055, 2020
82020
KeJia: the intelligent service robot for RoboCup@ Home 2014
X Chen, D Lu, K Chen, Y Chen, N Wang
Tech. Rep., Multi-Agent Systems Lab., Department of Computer Science and …, 2014
72014
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