Jinmin He PhD student, Institute of Automation, Chinese Academy of Sciences PhD student, University of Chinese Academy of Sciences. Joined ; May 2021

Codes of D2R accompanying the paper "Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing" (AAAI 2024). Codes of SeCA accompanying the paper "Sequential Cooperative Multi …

Dec 22, 2023 · View a PDF of the paper titled Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing, by Jinmin He and 6 other authors

Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023. Paper PDF Code. Greedy when Sure and Conservative when Uncertain about the Opponents

Jinmin He1,2, Kai Li1,2*, Yifan Zang1,2, Haobo Fu6, Qiang Fu6, Junliang Xing5*, Jian Cheng1,3,4 1Institute of Automation, Chinese Academy of Sciences 2School of Articial Intelligence, University of Chinese Academy of Sciences 3School of Future Technology, University of Chinese Academy of Sciences 4AiRiA 5Tsinghua University 6Tencent AI Lab

Semantic Scholar profile for Jinmin He, with 4 scientific research papers.

Jinmin He. Skip slideshow. Most frequent co-Author. Most cited colleague. Last year's Top subject. Multi-agent systems. View research. Last year's Top keyword. cooperative multi-agent reinforcement learning. View research. Most frequent Affiliation. Bibliometrics. Average Citation per Article. 1. Citation count. 1.

Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng: Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing. CoRR abs/2312.14472 ( 2023 )

Poster Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance Jinmin He · Kai Li · Yifan Zang · Haobo Fu · Qiang Fu · Junliang Xing · Jian Cheng

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