| Autonomous navigation of UAVs in large-scale complex environments: A deep reinforcement learning approach C Wang, J Wang, Y Shen, X Zhang IEEE Transactions on Vehicular Technology 68 (3), 2124-2136, 2019 | 296 | 2019 |
| Automatic radar waveform recognition based on time-frequency analysis and convolutional neural network C Wang, J Wang, X Zhang 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 169 | 2017 |
| Suphx: Mastering mahjong with deep reinforcement learning J Li, S Koyamada, Q Ye, G Liu, C Wang, R Yang, L Zhao, T Qin, TY Liu, ... arXiv preprint arXiv:2003.13590, 2020 | 133 | 2020 |
| Autonomous navigation of UAV in large-scale unknown complex environment with deep reinforcement learning C Wang, J Wang, X Zhang, X Zhang 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 119 | 2017 |
| Deep-reinforcement-learning-based autonomous UAV navigation with sparse rewards C Wang, J Wang, J Wang, X Zhang IEEE Internet of Things Journal 7 (7), 6180-6190, 2020 | 115 | 2020 |
| A deep reinforcement learning approach to flocking and navigation of uavs in large-scale complex environments C Wang, J Wang, X Zhang 2018 IEEE global conference on signal and information processing (GlobalSIP …, 2018 | 42 | 2018 |
| Radar signal classification based on auto-correlation function and directed graphical model C Wang, H Gao, X Zhang 2016 IEEE International Conference on Signal Processing, Communications and …, 2016 | 23 | 2016 |
| Seihai: A sample-efficient hierarchical ai for the minerl competition H Mao, C Wang, X Hao, Y Mao, Y Lu, C Wu, J Hao, D Li, P Tang Distributed Artificial Intelligence: Third International Conference, DAI …, 2022 | 21 | 2022 |
| Moore: Model-based offline-to-online reinforcement learning Y Mao, C Wang, B Wang, C Zhang arXiv preprint arXiv:2201.10070, 2022 | 10 | 2022 |
| Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020 WH Guss, S Milani, N Topin, B Houghton, S Mohanty, A Melnik, A Harter, ... NeurIPS 2020 Competition and Demonstration Track, 233-252, 2021 | 10 | 2021 |
| Suphx: Mastering mahjong with deep reinforcement learning. arXiv 2020 J Li, S Koyamada, Q Ye, G Liu, C Wang, R Yang, L Zhao, T Qin, TY Liu, ... arXiv preprint arXiv:2003.13590, 2003 | 8 | 2003 |
| Stabilizing multi-agent deep reinforcement learning by implicitly estimating other agents’ behaviors Y Jin, S Wei, J Yuan, X Zhang, C Wang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 4 | 2020 |
| Rethinking reinforcement learning based logic synthesis C Wang, C Chen, D Li, B Wang arXiv preprint arXiv:2205.07614, 2022 | 3 | 2022 |
| State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning C Chen, H Tang, Y Ma, C Wang, Q Shen, D Li, J Hao arXiv preprint arXiv:2211.15065, 2022 | 1 | 2022 |
| Attacking and Defending Deep Reinforcement Learning Policies C Wang arXiv preprint arXiv:2205.07626, 2022 | 1 | 2022 |
| Towards robust and domain agnostic reinforcement learning competitions WH Guss, S Milani, N Topin, B Houghton, S Mohanty, A Melnik, A Harter, ... arXiv preprint arXiv:2106.03748, 2021 | 1 | 2021 |
| OSCAR: OOD State-Conservative Offline Reinforcement Learning for Sequential Decision Making Y Ma, C Wang, C Chen, J Liu, Z Meng, Y Zheng, J Hao CAAI Artificial Intelligence Research 2, 2023 | | 2023 |
Xudong ZhangTsinghua UniversityVerified email at tsinghua.edu.cn
