| A survey of deep reinforcement learning in video games K Shao, Z Tang, Y Zhu, N Li, D Zhao arXiv preprint arXiv:1912.10944, 2019 | 260 | 2019 |
| Recent progress of deep reinforcement learning: from AlphaGo to AlphaGo Zero Z Tang, K Shao, D Zhao, Y Zhu Control Theory & Applications 34 (12), 1529-1546, 2017 | 54 | 2017 |
| Enhanced rolling horizon evolution algorithm with opponent model learning: Results for the fighting game AI competition Z Tang, Y Zhu, D Zhao, SM Lucas IEEE Transactions on Games 15 (1), 5-15, 2020 | 44 | 2020 |
| Chipformer: Transferable chip placement via offline decision transformer Y Lai, J Liu, Z Tang, B Wang, J Hao, P Luo International Conference on Machine Learning, 18346-18364, 2023 | 38 | 2023 |
| Reinforcement learning for build-order production in StarCraft II Z Tang, D Zhao, Y Zhu, P Guo 2018 Eighth International Conference on Information Science and Technology …, 2018 | 26 | 2018 |
| Move prediction in Gomoku using deep learning K Shao, D Zhao, Z Tang, Y Zhu 2016 31st Youth Academic Annual Conference of Chinese Association of …, 2016 | 26 | 2016 |
| A review of computational intelligence for StarCraft AI Z Tang, K Shao, Y Zhu, D Li, D Zhao, T Huang 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1167-1173, 2018 | 22 | 2018 |
| ADP with MCTS algorithm for Gomoku Z Tang, D Zhao, K Shao, LV Le 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2016 | 19 | 2016 |
| Llm4eda: Emerging progress in large language models for electronic design automation R Zhong, X Du, S Kai, Z Tang, S Xu, HL Zhen, J Hao, Q Xu, M Yuan, J Yan arXiv preprint arXiv:2401.12224, 2023 | 18 | 2023 |
| Reinforcement Learning within Tree Search for Fast Macro Placement Z Geng, J Wang, Z Liu, S Xu, Z Tang, M Yuan, HAO Jianye, Y Zhang, ... Forty-first International Conference on Machine Learning, 2024 | 9 | 2024 |
| Proximal policy optimization with elo-based opponent selection and combination with enhanced rolling horizon evolution algorithm R Liang, Y Zhu, Z Tang, M Yang, X Zhu 2021 IEEE Conference on Games (CoG), 1-4, 2021 | 9 | 2021 |
| Cooperative multi-agent deep reinforcement learning with counterfactual reward K Shao, Y Zhu, Z Tang, D Zhao 2020 International joint conference on neural networks (IJCNN), 1-8, 2020 | 7 | 2020 |
| Progress in deep reinforcement learning: from alpha go to alpha go zero [J] T Zhentao, S Kun, Z Dongbin, L Han Control Theory & Application 34 (12), 1529-1546, 2017 | 7 | 2017 |
| A survey of deep reinforcement learning in video games, 2019 K Shao, Z Tang, Y Zhu, N Li, D Zhao arXiv preprint arXiv:1912.10944, 1912 | 7 | 1912 |
| Benchmarking end-to-end performance of ai-based chip placement algorithms Z Wang, Z Geng, Z Tu, J Wang, Y Qian, Z Xu, Z Liu, S Xu, Z Tang, S Kai, ... arXiv preprint arXiv:2407.15026, 2024 | 6 | 2024 |
| Preroutgnn for timing prediction with order preserving partition: Global circuit pre-training, local delay learning and attentional cell modeling R Zhong, J Ye, Z Tang, S Kai, M Yuan, J Hao, J Yan Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17087 …, 2024 | 6 | 2024 |
| Xiaopeng Li X Li, M Yan, X Fan, Z Tang, S Kai, J Hao, M Yuan, J Chen Education, 2024 | 3 | 2024 |
| Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning X Zeng, X Hao, H Tang, Z Tang, S Jiao, D Lu, J Peng Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 383-391, 2024 | 1 | 2024 |
| PCBAgent: An Agent-based Framework for High-Density Printed Circuit Board Placement L Chen, R Chen, S Hu, X Yao, Z Tang, S Kai, S Xu, M Yuan, J Hao, B Yu, ... | | 2025 |
| DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation J Wang, Q Hao, W Huang, X Fan, Z Tang, B Wang, J Hao, Y Li Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
