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
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
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
Hierarchical Deep Multiagent Reinforcement Learning
H Tang, J Hao, T Lv, Y Chen, Z Zhang, H Jia, C Ren, Y Zheng, C Fan, ..., 2018
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
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces
H Fu, H Tang, J Hao, Z Lei, Y Chen, C Fan, 2019
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
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
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
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
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
Kejia robot–an attractive shopping mall guider
Y Chen, F Wu, W Shuai, N Wang, R Chen, X Chen
Social Robotics: 7th International Conference, ICSR 2015, Paris, France …, 2015
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
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
Neurar: Neural uncertainty for autonomous 3d reconstruction with implicit neural representations
Y Ran, J Zeng, S He, J Chen, L Li, Y Chen, G Lee, Q Ye
IEEE Robotics and Automation Letters 8 (2), 1125-1132, 2023
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
Glib: towards automated test oracle for graphically-rich applications
K Chen, Y Li, Y Chen, C Fan, Z Hu, W Yang
Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021
The robodepth challenge: Methods and advancements towards robust depth estimation
L Kong, Y Niu, S Xie, H Hu, LX Ng, BR Cottereau, D Zhao, L Zhang, ...
arXiv preprint arXiv:2307.15061, 2023
An efficient transfer learning framework for multiagent reinforcement learning
T Yang, W Wang, H Tang, J Hao, Z Meng, H Mao, D Li, W Liu, Y Chen, ...
Advances in neural information processing systems 34, 17037-17048, 2021
Fever basketball: A complex, flexible, and asynchronized sports game environment for multi-agent reinforcement learning
H Jia, Y Hu, Y Chen, C Ren, T Lv, C Fan, C Zhang
arXiv preprint arXiv:2012.03204, 2020
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