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H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps
Solving real-world complex tasks using reinforcement learning (RL) without high-fidelity simulation environments or large amounts of …
Haoyi Niu
,
Tianying Ji
,
Bingqi Liu
,
Haocheng Zhao
,
Xiangyu Zhu
,
Jianying Zheng
,
Pengfei Huang
,
Guyue Zhou
,
Jianming HU
,
Xianyuan Zhan
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Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning
Multimodal task specification is essential for enhanced robotic performance, where Cross-modality Alignment enables the robot to …
Jianxiong Li
,
Zhihao Wang
,
Jinliang Zheng
,
Xiaoai Zhou
,
Guanming Wang
,
Guanglu Song
,
Yu Liu
,
Jingjing Liu
,
Ya-Qin Zhang
,
Junzhi Yu
,
Xianyuan Zhan
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Data Center Cooling System Optimization Using Offline Reinforcement Learning
The recent advances in information technology and artificial intelligence have fueled a rapid expansion of the data center (DC) …
Xianyuan Zhan
,
Xiangyu Zhu
,
Peng Cheng
,
Xiao Hu
,
Ziteng He
,
Hanfei Geng
,
Jichao Leng
,
Huiwen Zheng
,
Chenhui Liu
,
Tianshun Hong
,
Yan Liang
,
Yunxin Liu
,
Feng Zhao
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Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
Achieving human-like driving behaviors in complex open-world environments is a critical challenge in autonomous driving. Contemporary …
Yinan Zheng
,
Ruiming Liang
,
Kexin Zheng
,
Jinliang Zheng
,
Liyuan Mao
,
Jianxiong Li
,
Weihao Gu
,
Rui Ai
,
Shengbo Eben Li
,
Xianyuan Zhan
,
Jingjing Liu
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Skill Expansion and Composition in Parameter Space
Humans excel at reusing prior knowledge to address new challenges and developing skills while solving problems. This paradigm becomes …
Tenglong Liu
,
Jianxiong Li
,
Yinan Zheng
,
Haiyi Niu
,
Yixing Lan
,
Xin Xu
,
Xianyuan Zhan
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Are Expressive Models Truly Necessary for Offline RL?
Among various branches of offline reinforcement learning (RL) methods, goal-conditioned supervised learning (GCSL) has gained …
Guan Wang
,
Haoyi Niu
,
Jianxiong Li
,
Li Jiang
,
Jianming HU
,
Xianyuan Zhan
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Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
One important property of DIstribution Correction Estimation (DICE) methods is that the solution is the optimal stationary distribution …
Liyuan Mao
,
Haoran Xu
,
Weinan Zhang
,
Xianyuan Zhan
,
Amy Zhang
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Instruction-Guided Visual Masking
Instruction following is crucial in contemporary LLM. However, when extended to multimodal setting, it often suffers from misalignment …
Jinliang Zheng
,
Jianxiong Li
,
Sijie Cheng
,
Yinan Zheng
,
Jiaming Li
,
Jihao Liu
,
Yu Liu
,
Jingjing Liu
,
Xianyuan Zhan
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TESLA: Thermally Safe, Load-Aware, and Energy-Efficient Cooling Control System for Data Centers
The increasing demand for artificial intelligence and cloud computing has led to skyrocketing energy consumption of data centers (DCs). …
Hanfei Geng
,
Yi Sun
,
Yuanzhe Li
,
Jichao Leng
,
Xiangyu Zhu
,
Xianyuan Zhan
,
Yuanchun Li
,
Feng Zhao
,
Yunxin Liu
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Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies
Hierarchical reinforcement learning (HRL) addresses complex long-horizon tasks by skillfully decomposing them into subgoals. Therefore, …
Yu Luo
,
Fuchun Sun
,
Tianying Ji
,
Xianyuan Zhan
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