Yingfeng Chen(陈赢峰)
Yingfeng Chen(陈赢峰)
Fuxi AI Lab in Netease
Verified email at mail.ustc.edu.cn - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
Learning action-transferable policy with action embedding
Y Chen, Y Chen, Y Yang, Y Li, J Yin, C Fan
arXiv preprint arXiv:1909.02291, 2019
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
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
Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms
L Iocchi, Y Chen, D Hsu
RoboCup 2015: Robot World Cup XIX 9513, 377, 2016
A framework of dual replay buffer: Balancing forgetting and generalization in reinforcement learning
L Zhang, Z Zhang, Z Pan, Y Chen, J Zhu, Z Wang, M Wang, C Fan
Proceedings of the 2nd Workshop on Scaling Up Reinforcement Learning (SURL …, 2019
Hierarchical deep multiagent reinforcement learning with temporal abstraction
H Tang, J Hao, T Lv, Y Chen, Z Zhang, H Jia, C Ren, Y Zheng, Z Meng, ...
arXiv preprint arXiv:1809.09332, 2018
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
KeJia-LC: A Low-Cost Mobile Robot Platform — Champion of Demo Challenge on Benchmarking Service Robots at RoboCup 2015
Y Chen, F Wu, N Wang, K Tang, M Cheng, X Chen
Robot Soccer World Cup, 60-71, 2015
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
arXiv preprint arXiv:2011.02669, 2020
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
Mastering basketball with deep reinforcement learning: An integrated curriculum training approach
H Jia, C Ren, Y Hu, Y Chen, T Lv, C Fan, H Tang, J Hao
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
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