Yan Zheng (郑 岩)
Yan Zheng (郑 岩)
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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
Stealthy and efficient adversarial attacks against deep reinforcement learning
J Sun, T Zhang, X Xie, L Ma, Y Zheng, K Chen, Y Liu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5883-5891, 2020
A deep bayesian policy reuse approach against non-stationary agents
Y Zheng, Z Meng, J Hao, Z Zhang, T Yang, C Fan
Advances in neural information processing systems 31, 2018
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
Weighted double deep multiagent reinforcement learning in stochastic cooperative environments
Y Zheng, Z Meng, J Hao, Z Zhang
PRICAI 2018: Trends in Artificial Intelligence: 15th Pacific Rim …, 2018
Localizing multiple software faults based on evolution algorithm
Y Zheng, Z Wang, X Fan, X Chen, Z Yang
Journal of Systems and Software 139, 107-123, 2018
Automatic web testing using curiosity-driven reinforcement learning
Y Zheng, Y Liu, X Xie, Y Liu, L Ma, J Hao, Y Liu
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
Towards efficient detection and optimal response against sophisticated opponents
T Yang, Z Meng, J Hao, C Zhang, Y Zheng, Z Zheng
arXiv preprint arXiv:1809.04240, 2018
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework.
Y Yang, J Hao, Y Zheng, C Yu
IJCAI, 630-636, 2019
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
KoGuN: accelerating deep reinforcement learning via integrating human suboptimal knowledge
P Zhang, J Hao, W Wang, H Tang, Y Ma, Y Duan, Y Zheng
arXiv preprint arXiv:2002.07418, 2020
Vulnerability assessment of deep reinforcement learning models for power system topology optimization
Y Zheng, Z Yan, K Chen, J Sun, Y Xu, Y Liu
IEEE Transactions on Smart Grid 12 (4), 3613-3623, 2021
Layered modeling and generation of Pollock’s drip style
Y Zheng, X Nie, Z Meng, W Feng, K Zhang
The Visual Computer 31, 589-600, 2015
Real-time predication and navigation on traffic congestion model with equilibrium Markov chain
Y Zheng, Y Li, CM Own, Z Meng, M Gao
International journal of distributed sensor networks 14 (4), 1550147718769784, 2018
Hyar: Addressing discrete-continuous action reinforcement learning via hybrid action representation
B Li, H Tang, Y Zheng, J Hao, P Li, Z Wang, Z Meng, L Wang
arXiv preprint arXiv:2109.05490, 2021
Efficient policy detecting and reusing for non-stationarity in markov games
Y Zheng, J Hao, Z Zhang, Z Meng, T Yang, Y Li, C Fan
Autonomous Agents and Multi-Agent Systems 35, 1-29, 2021
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.
T Yang, J Hao, Z Meng, Y Zheng, C Zhang, Z Zheng
AAMAS, 2282-2284, 2019
Prompt Injection attack against LLM-integrated Applications
Y Liu, G Deng, Y Li, K Wang, T Zhang, Y Liu, H Wang, Y Zheng, Y Liu
arXiv preprint arXiv:2306.05499, 2023
PMIC: improving multi-agent reinforcement learning with progressive mutual information collaboration
P Li, H Tang, T Yang, X Hao, T Sang, Y Zheng, J Hao, ME Taylor, W Tao, ...
arXiv preprint arXiv:2203.08553, 2022
Continuous multiagent control using collective behavior entropy for large-scale home energy management
J Sun, Y Zheng, J Hao, Z Meng, Y Liu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 922-929, 2020
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