Yingfeng Chen(陈赢峰)
Yingfeng Chen(陈赢峰)
Fuxi AI Lab in Netease
Verified email at - Homepage
Cited by
Cited by
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
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
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
Hierarchical Deep Multiagent Reinforcement Learning
H Tang, J Hao, T Lv, Y Chen, Z Zhang, H Jia, C Ren, Y Zheng, C Fan, ..., 2018
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
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
H Fu, H Tang, J Hao, Z Lei, Y Chen, C Fan, 2019
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
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
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
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
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
Metacure: Meta reinforcement learning with empowerment-driven exploration
J Zhang, J Wang, H Hu, T Chen, Y Chen, C Fan, C Zhang
International Conference on Machine Learning, 12600-12610, 2021
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
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
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
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
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
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
Episodic multi-agent reinforcement learning with curiosity-driven exploration
L Zheng, J Chen, J Wang, J He, Y Hu, Y Chen, C Fan, Y Gao, C Zhang
Advances in Neural Information Processing Systems 34, 3757-3769, 2021
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
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