趙鑒，現任北京中關村學院導師、中關村人工智慧研究院研究員。分別於2018年和2023年在中國科學技術大學獲得學士與博士學位。他曾在微軟亞洲研究院，騰訊遊戲AI研發中心等機構學習工作，科研領域包括遊戲AI、強化學習和多智慧型體系統，目前在國內外學術期刊和會議上發表論文三十餘篇。他曾獲得第一屆騰訊開悟多智慧型體強化學習大賽冠軍，RLChina 智慧型體挑戰賽2021夏季賽冠軍，2022春季賽冠軍等獎項。博士畢業後加入強化學習創業公司南棲仙策，主要從事強化學習的套用落地業務。
基本介紹
- 中文名：趙鑒
- 國籍：中國
- 學位/學歷：博士
- 職業：中關村學院導師
工作經歷,教育經歷,研究方向,獲獎記錄,
工作經歷
2025.3--至今 中關村人工智慧研究院 研究員
2023.6-2025.2南棲仙策（南京）科技有限公司 算法副總裁
教育經歷
2018-2023 中國科學技術大學 博士研究生
2014-2018 中國科學技術大學 本科
研究方向
Youpeng Zhao, Yudong Lu, Jian Zhao, Wengang Zhou, and Houqiang Li, “DanZero+: Dominating the GuanDan Game through Reinforcement Learning,” IEEE Transactions on Games (ToG), 16(4):914-926, December 2024.
Jian Zhao, Mingyu Yang, Youpeng Zhao, Xunhan Hu, Wengang Zhou, and Houqiang Li, “MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning,” IEEE Transactions on Games (ToG), 16(3): 556-565, Septerber 2024.
Youpeng Zhao, Jian Zhao, Xunhan Hu, Wengang Zhou, and Houqiang Li, “Full DouZero+: Improving DouDizhu AI by Opponent Modeling, Coach-guided Training and Bidding Learning,” IEEE Transactions on Game (ToG), 16(3): 518-529, September 2024.
Jian Zhao, Xunhan Hu, Mingyu Yang, Wengang Zhou, Jiangcheng Zhu, and Houqiang Li, “CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning,” IEEE Transactions on Games (ToG), 16(1): 140-150, March 2024.
Zheng Chen, Jian Zhao, Mingyu Yang, Wengang Zhou, and Houqiang Li, “Optimizing Camera Motion with MCTS and Target Motion Modeling in Multi-Target Active Object Tracking,” ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 20(7): 1-19, July 2024.
Jian Zhao, Weide Shu, Youpeng Zhao, Wengang Zhou, and Houqiang Li, “Improving Deep Reinforcement Learning with Mirror Loss,” IEEE Transactions on Games (TOG), 15(3): 337-347, 2023.
Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, and Houqiang Li, “Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents,” Frontiers of Information Technology & Electronic Engineering, 23(7): 1032-1042, 2022.
Jian Zhao, Weizhen Qi, Wengang Zhou, Nan Duan, Ming Zhou, and Houqiang Li, “Conditional Sentence Generation and Cross-modal Reranking for Sign Language Translation,” IEEE Transactions on Multimedia (TMM), 24: 2662-2672, 2022.
Tianyu Zhao, Jian Zhao, Wengang Zhou, Yun Zhou and Houqiang Li, “State Representation Learning with Adjacent State Consistency Loss for Deep Reinforcement Learning,” IEEE Multimedia, 28(3): 117-127, 2021.
Chengcheng Wei, Jian Zhao, Wengang Zhou, and Houqiang Li, “Semantic Boundary Detection with Reinforcement Learning for Continuous Sign Language Recognition,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 31(3): 1138-1149, 2021.
Xunhan Hu, Jian Zhao, Wengang Zhou, Ruili Feng, and Houqiang Li, “DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning,” Advances in Neural Information Processing Systems (NeurIPS), Dec. 10-16, 2023.
Xunhan Hu, Jian Zhao, Youpeng Zhao, Wengang Zhou, and Houqiang Li, “Q-SAT: Value Factorization with Self-Attention for Deep Multi-Agent Reinforcement Learning,” International Joint Conference on Neural Networks (IJCNN), June 18-23, 2023.
Zeyu Fang, Jian Zhao, Wengang Zhou, and Houqiang Li, “Implementing First-Person Shooter Game AI in WILD-SCAV with Rule-Enhanced Deep Reinforcement Learning,” IEEE Conference on Games (COG), Aug. 21-24, 2023.
Yudong Lu, Jian Zhao, Youpeng Zhao, Wengang Zhou, and Houqiang Li, “DanZero: Mastering GuanDan Game with Reinforcement Learning,” IEEE Conference on Games (COG), Aug. 21-24, 2023.
Junjie Lin, Yuhao Gong, Jian Zhao, Wengang Zhou, and Houqiang Li, “Mastering Curling with RL-revised Decision Tree,” IEEE Conference on Games (COG), Aug. 21-24, 2023.
Mingyu Yang, Jian Zhao, Xunhan Hu, Wengang Zhou, Jiangcheng Zhu, and Houqiang Li, “LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning,” Advances in Neural Information Processing Systems (NeurIPS), Nov. 28-Dec. 9, 2022.
Jitao Wang, Dongyun Xue, Jian Zhao, Wengang Zhou, and Houqiang Li, “Mastering the Game of 3v3 Snakes with Rule-Enhanced Multi-Agent Reinforcement Learning,” IEEE Conference on Games (COG), Aug. 21-24, 2022.
Youpeng Zhao, Jian Zhao, Xunhan Hu, Wengang Zhou, and Houqiang Li, “DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning,” IEEE Conference on Games (COG), Aug. 21-24, 2022.
Jian Zhao, Wengang Zhou, Tianyu Zhao, Yun Zhou, and Houqiang Li, “State Representation Learning for Effective Deep Reinforcement Learning,” IEEE International Conference on Multimedia Expo (ICME), Oral Paper, 2020.
獲獎記錄
騰訊第一屆開悟 MOBA 多智慧型體強化學習大賽冠軍
JCAI2020國標麻將AI競賽第四名
NeurIPS RL自動駕駛比賽亞軍
RLChina 智慧型體季度挑戰賽3次冠軍，多次亞軍和季軍
IEEE BigData Cup 2021: RL based RecSys冠軍
位元組跳動2021夏令營"非侵入式遊戲AI"獲團隊組一等獎
COG2022-第一人稱射擊類遊戲(FPS)AI 三個賽道全部冠軍（導航，收集物資，戰鬥）
