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Kun Shao
Observed name:
Shao, Kun
Institutions:
University of California, Davis,
Xiaomi (China)
Observed institutions:
Chinese Academy of Sciences,
Huawei Technologies (China),
Institute of Automation,
Huawei Technologies (United Kingdom),
University of Chinese Academy of Sciences,
University of California, Davis,
Xiaomi (China),
Webster University
show all 8
ORCID:
0000-0003-0965-4302
Observed ORCID:
0000-0003-0965-4302
OpenAlex ID:
A5101787656
A Survey of Deep Reinforcement Learning in Video Games
2019
·
Shao, Kun
, Tang, Zhentao
, et al.
·
arXiv (Cornell University)
·
278
PDF
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning
2020
·
Yang, Yaodong
, Hao, Jianye
, et al.
·
arXiv (Cornell University)
·
238
PDF
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
2020
·
Zhou, Ming
, Luo, Jun
, et al.
·
arXiv (Cornell University)
·
179
PDF
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning
2018
·
Kun Shao
, Yuanheng Zhu
, et al.
·
IEEE Transactions on Emerging Topics in Computational Intelligence
·
176
PDF
Deep reinforcement learning with experience replay based on SARSA
2016
·
Dongbin Zhao
, Haitao Wang
, et al.
·
IEEE Symposium Series on Computational Intelligence (SSCI)
·
153
Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance
2024
·
Grosnit, Antoine
, Maraval, Alexandre
, et al.
·
arXiv (Cornell University)
·
57
PDF
Multi-Agent Determinantal Q-Learning
2020
·
Yang, Yaodong
, Wen, Ying
, et al.
·
arXiv (Cornell University)
·
50
PDF
Review of deep reinforcement learning and discussions on the development of computer Go
2016
·
Dong Bin Zhao
, Kun Shao
, et al.
·
Control theory & applications
·
47
Learning Battles in ViZDoom via Deep Reinforcement Learning
2018
·
Kun Shao
, Dongbin Zhao
, et al.
·
IEEE Conference on Computational Intelligence and Games (CIG)
·
36
Domain-Analysis in Software Reuse - Application in Warehouse Management
2007
·
Youxin Meng
, Aiguang Young
, et al.
·
ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)
·
30
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment
2021
·
Zhou, Tianze
, Zhang, Fubiao
, et al.
·
arXiv (Cornell University)
·
22
PDF
A Review of Computational Intelligence for StarCraft AI
2018
·
Zhentao Tang
, Kun Shao
, et al.
·
IEEE Symposium Series on Computational Intelligence (SSCI)
·
22
Cooperative reinforcement learning for multiple units combat in starCraft
2017
·
Kun Shao
, Yuanheng Zhu
, et al.
·
IEEE Symposium Series on Computational Intelligence (SSCI)
·
20
Move prediction in Gomoku using deep learning
2016
·
Kun Shao
, Dongbin Zhao
, et al.
·
Youth Academic Annual Conference of Chinese Association of Automation (YAC)
·
20
SpatialViz-Bench: A Cognitively-Grounded Benchmark for Diagnosing Spatial Visualization in MLLMs
2025
·
Wang, Siting
, Pei, Minnan
, et al.
·
arXiv (Cornell University)
·
19
PDF
ADP with MCTS algorithm for Gomoku
2016
·
Zhentao Tang
, Dongbin Zhao
, et al.
·
IEEE Symposium Series on Computational Intelligence (SSCI)
·
13
Visual Navigation with Actor-Critic Deep Reinforcement Learning
2018
·
Kun Shao
, Dongbin Zhao
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
·
12
Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning
2025
·
Wu, Qingyuan
, Liu, Jianheng
, et al.
·
arXiv (Cornell University)
·
11
PDF
Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward
2020
·
Kun Shao
, Yuanheng Zhu
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
·
7
Who Improves the Robot? Toward Physical Recursive Self-Improvement
2026
·
Zhou, Hai
, Yang, Fan
, et al.
·
arXiv (Cornell University)
·
6
PDF
Comparing Teacher Dispositions in China and the USA.
2013
·
Kun Shao
, Roy Tamashiro
·
6
Deep sparse representation-based mid-level visual elements discovery in fine-grained classification
2018
·
Le Lv
, Dongbin Zhao
, et al.
·
Soft Computing
·
4
Making advanced computer science topics more accessible through interactive technologies
2012
·
Kun Shao
, Peter Maher
·
Interactive Technology and Smart Education
·
2
Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration
2022
·
Jiayu Miao
, Tianze Zhou
, et al.
·
Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
·
1
Populating the global software talent pool: An effective approach to computer science education in China
2009
·
Kun Shao
, Peter Maher
·
International Conference on Computer Science & Education (ICCSE)
·
1
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Works count:
33
Citation count:
1,410
H-index:
15
I10-index:
18
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