| 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 | 148 | 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 | 110 | 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 | 82 | 2018 |
| 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 | 81 | 2023 |
| 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 | 73 | 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 | 63 | 2021 |
| 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 | 45 | 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 | 44 | 2018 |
| 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 | 42 | 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 | 34 | 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 | 34 | 2020 |
| 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 | 33 | 2019 |
| 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 | 29 | 2021 |
| 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 | 29 | 2020 |
| Configuration-dependent bands in 169Re XH Zhou, M Oshima, FR Xu, Y Toh, YH Zhang, Y Zheng, YB Xu, ... The European Physical Journal A-Hadrons and Nuclei 19 (1), 11-23, 2004 | 28 | 2004 |
| 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 | 22 | 2022 |
| 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 | 22 | 2018 |
| 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 | 22 | 2015 |
| Properties of the rotational bands in L Chen, XH Zhou, YH Zhang, Y Zheng, ML Liu, ST Wang, F Ma, NT Zhang, ... Physical Review C 83 (3), 034318, 2011 | 18 | 2011 |
| 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 | 16 | 2021 |
Hongyao TangMila/UdeMVerified email at mila.quebec
