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Associate Professor, College of Intelligence and Computing, Tianjin University
Research Area: Artificial intelligence; Multi-agent systems; Machine Learning; Game Theroy
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Associate Professor, College of Intelligence and Computing, Tianjin University
Research Area: Multiagent Systems; Deep Reinforcement Learning; Evolutionary Algorithm;
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Associate Professor, School of Comuputer and Information Technology (School of Big Data), Shanxi University
Research Area: Reinforcement Learning, Embodied AI, RL for Application
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Postdoc at University of Alberta;
Research Area: Reinforcement Learning; Transfer Learning; Multiagent Learning
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Postdoctoral Fellow of UdeM/MILA
Research Area: Deep Reinforcement Learning; Representation Learning
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5th Year Ph.D.
College of Intelligence and Computing, Tianjin University
Research Area: Self-Supervised Reinforcement Learning
4th Year Ph.D.
College of Intelligence and Computing, Tianjin University
Research Area: Model based RL; Diffusion for RL; LLM
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3rd Year Ph.D.
College of Intelligence and Computing, Tianjin University
Research Area: Evolutionary Reinforcement Learning, MARL, MORL, LLM Agent
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3rd Year Ph.D.
College of Intelligence and Computing, Tianjin University
Research Area: LLM for Control, Offline Reinforcement Learning
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2nd Year Ph.D.
College of Intelligence and Computing, Tianjin University
Research Area: Model Based RL; Reinforcement with Human Feedback; Generative Models
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1st Year Ph.D.
School of New Media and Communication, Tianjin University
Research Area: Multi Agent System
1st Year Ph.D.
College of Intelligence and Computing, Tianjin University
Research Area: LLM Agent
3rd Year Master
College of Intelligence and Computing, Tianjin University
Research Area: transfer learning
3rd Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Reinfocement Learning, Evolutionary Reinfocement Learning
3rd Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Large language models, real time control
3rd Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Transfer reinforcement learning
3rd Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Offline RL
3rd Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Self-supervised Reinforcement Learning
2nd Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Deep Reinforcement Learning; Deep Learning; LLM
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2nd Year Master
College of Intelligence and Computing, Tianjin University
Research Area: MA
2nd Year Master
School of New Media and Communication, Tianjin University
Research Area: RLHF
2nd Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Model Based Reinforcement Learning; Generative Models; Diffusion Models for Decision Making
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2nd Year Master
School of New Media and Communication, Tianjin University
Research Area: RLHF LLM
2nd Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Reinforcement Learning, Representation Learning
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2nd Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Offline Reinforcement Learning
2nd Year Master
College of Intelligence and Computing, Tianjin University
Research Area: LLM, agent, RAG
2nd Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Robotics
1st Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Embodied AI,Robotics
1st Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Embodied AI, MLLM
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1st Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Embodied AI,Robotics
1st Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Embodied AI, MLLM, LLM Agent
1st Year Master
College of Intelligence and Computing, Tianjin University
Research Area: Robotics, Sim2Real, Embodied AI
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1st Year Master
College of Intelligence and Computing, Tianjin University
Research Area: LLM Agent
3rd Year Undergraduate
College of Intelligence and Computing, Tianjin University
Research Area: Embodied AI, Video Understanding, MLLM
3rd Year Undergraduate
College of Intelligence and Computing, Tianjin University
Research Area: Embodied AI
Graduated with a Ph.D. degree in 2024, Douyin, ByteDance
Research Area: Reinforcement Learning, Multiagent system
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Graduated with a Ph.D. degree in 2024, Associate Professor, School of Comuputer and Information Technology (School of Big Data), Shanxi University
Research Area: Reinforcement Learning, Embodied AI, RL for Application
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Graduated with a Ph.D. degree in 2023, Netease Fuxi AI Lab; Alibaba
Research Area: LargeScale Multiagent Deep Reinforcement Learning
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Graduated with a Ph.D. degree in 2023, Postdoctoral Fellow of UdeM/MILA
Research Area: Deep Reinforcement Learning, Representation Learning
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Graduated with a Ph.D. degree in 2021, Postdoc at University of Alberta
Research Area: Reinforcement Learning; Transfer Learning; Multiagent Learning
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Graduated with a Ph.D. degree in 2019, Associate Professor, College of Intelligence and Computing, Tianjin University
Research Area: Multiagent Systems; Deep Reinforcement Learning; Evolutionary Algorithm;
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Graduated with a Ph.D. degree in 2018, Associate Professor, Dalian Maritime University
Research Area: Reinforcement Learning，Multiagent Reinforcement Learning
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Graduated with a Ph.D. degree in 2024, working at Li Auto Inc.
Research Area: Reinforcement Learning, Automated Negotiation
Graduated with a Ph.D. degree in 2024, working at Li Auto Inc.
Research Area: Deep Reinforcement Learning, Artificial Intelligence
Graduated with a Ph.D. degree in 2024, working at nan
Research Area: Offline reinforcement learning
Graduated with a Ph.D. degree in 2024, working at Bilibili
Research Area: Offline Reinforcement Learning
Graduated with a Ph.D. degree in 2024, working at Alibaba
Research Area: Deep Reinforcement Learning, Transfer learning
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Graduated with a Master degree in 2023, working at China Academy of Aerospace Scientce and Innovation
Research Area: Reinforcement Learning, Transfer Learning
Graduated with a Master degree in 2023, working at Beijing Institute of Control & Electronics Technology
Research Area: Opponent Modeling
Graduated with a Master degree in 2023, working at Selected Student in Shanghai
Research Area: Graph Neural Network，Reinforcement Learning
Graduated with a Master degree in 2023, working at Huawei
Research Area: Deep Reinforcement Learning, Transfer Learning
Graduated with a Master degree in 2022, working at Netease Fuxi AI Lab
Research Area: Model-based Reinforcement Learning
Graduated with a Master degree in 2022, working at Beijing Institute of Control and Electronic Technology
Research Area: Military intelligence
Graduated with a Master degree in 2022, working at Baidu
Research Area: Auto-negotiation
Graduated with a Master degree in 2022, working at Baidu
Research Area: Deep Reinforcement Learning
Graduated with a Master degree in 2022, working at JD Company
Research Area: Reinforcement Learning
Graduated with a Master degree in 2022, working at Citic Security
Research Area: Reinforcement Learning
Graduated with a Master degree in 2022, working at CASIC
Research Area: Multi-Agent Reinforcement Learning
Graduated with a Master degree in 2022, working at KUNLUN
Research Area: Meta Reinforcement Learning
Graduated with a Master degree in 2021, working at Alibaba
Research Area: Causal Reinforcement Learning
Graduated with a Master degree in 2021, working at Temu
Research Area: Multi-Agent Reinforcement Learning
Graduated with a Master degree in 2021, working at Z-one Technology co., Ltd.
Research Area: Reinforcement Learning, Adversarial Learning
Graduated with a Master degree in 2021, working at Bytedance Game AI
Research Area: Multi-Agent Reinforcement Learning
Graduated with a Master degree in 2021, working at Netease Games
Research Area: Reinforcement Learning
Graduated with a Master degree in 2021, working at Citic Security
Research Area: Reinforcement Learning
Graduated with a Master degree in 2020, Studying for a PhD at CUHK
Research Area: multi-agent system, reinforcement learning
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