Kun Shao
Kun Shao
Huawei Noah’s Ark Lab
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Cited by
Cited by
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
Qatten: A general framework for cooperative multiagent reinforcement learning
Y Yang, J Hao, B Liao, K Shao, G Chen, W Liu, H Tang
arXiv preprint arXiv:2002.03939, 2020
Starcraft micromanagement with reinforcement learning and curriculum transfer learning
K Shao, Y Zhu, D Zhao
IEEE Transactions on Emerging Topics in Computational Intelligence 3 (1), 73-84, 2018
Smarts: An open-source scalable multi-agent rl training school for autonomous driving
M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ...
Conference on robot learning, 264-285, 2021
Deep reinforcement learning with experience replay based on SARSA
D Zhao, H Wang, K Shao, Y Zhu
2016 IEEE symposium series on computational intelligence (SSCI), 1-6, 2016
Multi-agent determinantal q-learning
Y Yang, Y Wen, J Wang, L Chen, K Shao, D Mguni, W Zhang
International Conference on Machine Learning, 10757-10766, 2020
Review of deep reinforcement learning and discussions on the development of computer Go
D Zhao, K Shao, Y Zhu, D Li, Y Chen, H Wang, DR Liu, T Zhou, CH Wang
Control Theory & Applications 33 (6), 701-717, 2016
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
Learning battles in vizdoom via deep reinforcement learning
K Shao, D Zhao, N Li, Y Zhu
2018 IEEE conference on computational intelligence and games (CIG), 1-4, 2018
Cooperative reinforcement learning for multiple units combat in StarCraft
K Shao, Y Zhu, D Zhao
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2017
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
Traj-mae: Masked autoencoders for trajectory prediction
H Chen, J Wang, K Shao, F Liu, J Hao, C Guan, G Chen, PA Heng
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
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
Cooperative multi-agent transfer learning with level-adaptive credit assignment
T Zhou, F Zhang, K Shao, K Li, W Huang, J Luo, W Wang, Y Yang, H Mao, ...
arXiv preprint arXiv:2106.00517, 2021
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
Chessgpt: Bridging policy learning and language modeling
X Feng, Y Luo, Z Wang, H Tang, M Yang, K Shao, D Mguni, Y Du, J Wang
Advances in Neural Information Processing Systems 36, 2024
Visual navigation with actor-critic deep reinforcement learning
K Shao, D Zhao, Y Zhu, Q Zhang
2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018
Pangu-agent: A fine-tunable generalist agent with structured reasoning
F Christianos, G Papoudakis, M Zimmer, T Coste, Z Wu, J Chen, ...
arXiv preprint arXiv:2312.14878, 2023
Multiagent q-learning with sub-team coordination
W Huang, K Li, K Shao, T Zhou, M Taylor, J Luo, D Wang, H Mao, J Hao, ...
Advances in Neural Information Processing Systems 35, 29427-29439, 2022
Heterogeneous graph neural network-based imitation learning for gate sizing acceleration
X Zhou, J Ye, CW Pui, K Shao, G Zhang, B Wang, J Hao, G Chen, ...
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022
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