Tsinghua reinforcement learning

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August undefined, 2024

WebMy research interests include Reinforcement Learning and Deep Learning. My thesis is to improve the sample efficiency of reinforcement learning via inductive models including object-oriented representation model, plannable world model, and associative memory model, and I won the award for Excellent Doctoral Dissertation of Tsinghua University, 2024. WebDec 12, 2024 · Jianping Wu, Department of Civil Engineering, Tsinghua University, 100084, Beijing, China. Email: [email protected] ... which adopts deep reinforcement learning technique to realize the optimization of multiple dynamic objectives (e.g., efficiency, fairness, and energy saving).

基于形态的具身智能研究: 历史回顾与前沿进展

WebMy name is Wenzhe Li (李文哲). I received my B.E. from the Department of Computer Science and Technology at Tsinghua University, where I was fortunate to work with Jun Zhu, Guy Van den Broeck and Stefano Ermon.Currently, I am working with Chongjie Zhang at Institute for Interdisciplinary Information Sciences, Tsinghua University.. My research … WebMildly Conservative Q-Learning for Offline Reinforcement Learning Jiafei Lyu1∗, Xiaoteng Ma 2∗, Xiu Li1†, Zongqing Lu 3† 1Tsinghua Shenzhen International Graduate School, … birds food mod

Guangxiang Zhu - GitHub Pages

WebMy current interests are in probabilistic machine learning, adversarial robustness, large-margin learning, Bayesian nonparametrics, deep learning and reinforcement learning. Before joining Tsinghua in 2011, I was a post-doc researcher and project scientist at the Machine Learning Department in Carnegie Mellon University. From 2015 to 2024, I ... WebUnlike existing reinforcement learning libraries, which are mainly based on TensorFlow, have many nested classes, unfriendly API, or slow-speed, Tianshou provides a fast-speed … WebMENT LEARNING: SOLVING EXTENSIVE GAMES WITH IMPERFECT INFORMATION Yichi Zhou, Jialian Li, Jun Zhu Dept. of Comp. Sci. & Tech., BNRist Center, Institute for AI, … dana safety supply north little rock ar

Tsinghua reinforcement learning

Web19. i10-index. 26. 25. Yi Wu. Institute for Interdisciplinary Information Sciences, Tsinghua University. Verified email at mail.tsinghua.edu.cn - Homepage. Artificial Intelligence … Web1Alibaba DAMO Academy 2Tsinghua University {yuanzheng.yuanzhen,chuanqi.tcq}@alibaba-inc.com [email protected] Abstract Reinforcement Learning from Human Feedback (RLHF) facilitates the alignment of large language models with human preferences, signiﬁcantly enhancing the quality of interactions between humans and …

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http://group.iiis.tsinghua.edu.cn/~milab/ [email protected] Abstract Learning new task-speciﬁc skills from a few trials is a fundamental challenge for artiﬁcial intelligence. Meta reinforcement learning ...

WebMar 6, 1994 · Liangliang Ren, Jiwen Lu, Zifeng Wang, and Jie Zhou, Collaborative Deep Reinforcement Learning for Multi-Object Tracking, European Conference on Computer … Web‪Department of Automation, Tsinghua University‬ - ‪‪Cited by 22,365‬‬ ... Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition. Y Tang, Y Tian, J Lu, P Li, J Zhou. IEEE Conference on Computer Vision and Pattern Recognition, 5323-5332, 2024. 390:

WebOffline Reinforcement Learning with Reverse Model-based Imagination. Advances in Neural Information Processing Systems (NeurIPS), 2024. Lulu Zheng*, Jiarui Chen*, Jianhao … WebTime: June 18th, 2024 15:00Locaiton: N412, Mong Man-wei Science Technology BuildingAt the heart of Reinforcement Learning lies the challenge of trading exploration -- collecting …

Web2Institute for AIR, Tsinghua University 3Beijing Academy of Artificial Intelligence 4Gaoling School of Artificial Intelligence, ... You et al. [47] used reinforcement learning to generate molecules sequentially under the guidance of mixed rewards in terms of the chemical validity and other property scores. Popova et al. [34]

WebHe received his Ph.D. degree from Tsinghua University in 2004. He was a recipient of the National Science Fund for Distinguished Young Scholars. Currently, he is a senior editor of International Journal of Robotics Research. ... Ha D. Reinforcement learning for improving agent design. Artificial Life, 2024, 25(4): ... birds foodWebMildly Conservative Q-Learning for Offline Reinforcement Learning Jiafei Lyu1∗, Xiaoteng Ma 2∗, Xiu Li1†, Zongqing Lu 3† 1Tsinghua Shenzhen International Graduate School, Tsinghua University 2Department of Automation, Tsinghua Unversity 3School of Computer Science, Peking University {lvjf20,ma-xt17}@mails.tsinghua.edu.cn, … birds food near meWebAug 27, 2024 · Introduction. Deep reinforcement learning has become a flourishing subfield of machine learning in the past decade. Two remarkable and well-known successful … birds food shop near meWebLow-Rank Modular Reinforcement Learning via Muscle Synergy. NeurIPS 2024: Annual Conference on Neural Information Processing Systems PDF ; Tonghan Wang*, Yipeng Kang*, Qianlan Yang, ... IIIS, Tsinghua University @ Beijing, China, 2024 -- Present Multi-Agent Reinforcement Learning B.Sc. in Computer Science (GPA: 3.99 / 4.00) ... dana safety supply okcWebBefore that, I received my PH.D. from Tsinghua Universitity 2024 and I completed my B.S. in 2015 at the the Harbin Institute of Technology. My research missions are from two aspects. One is to ... Reinforcement Learning with Tree-LSTM for Join Order Selection ICDE'20 Xiang Yu, Guoliang Li, Chengliang Chai, Nan Tang birds food feederhttp://www.aas.net.cn/article/doi/10.16383/j.aas.c220564 dana safety supply pompano beach fl [email protected] Abstract Learning new task-speciﬁc skills from a few trials is a fundamental challenge for artiﬁcial intelligence. Meta reinforcement learning ... Metacure: Meta reinforcement learning with empowerment-driven exploration. In International Conference on Machine Learning, pages 12600–12610. PMLR, 2024. birds food list