Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives

Kavli Affiliate: Biao Huang | First 5 Authors: Runze Lin, Junghui Chen, Lei Xie, Hongye Su, Biao Huang | Summary: This paper provides insights into deep reinforcement learning (DRL) for process control from the perspective of transfer learning. We analyze the challenges of applying DRL in the field of process industries and the necessity of […]


Continue.. Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives

Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives

Kavli Affiliate: Biao Huang | First 5 Authors: Runze Lin, Junghui Chen, Lei Xie, Hongye Su, Biao Huang | Summary: This paper provides insights into deep reinforcement learning (DRL) for process control from the perspective of transfer learning. We analyze the challenges of applying DRL in the field of process industries and the necessity of […]


Continue.. Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives

Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region

Kavli Affiliate: Xian Chen | First 5 Authors: Haijie Xu, Xiaochen Xian, Chen Zhang, Kaibo Liu, | Summary: Sequential change point detection for multivariate autocorrelated data is a very common problem in practice. However, when the sensing resources are limited, only a subset of variables from the multivariate system can be observed at each sensing […]


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Contributions of mirror-image hair cell orientation to mouse otolith organ and zebrafish neuromast function

Kavli Affiliate: Kathleen Cullen | Authors: Kazuya Ono, Amandine Jarysta, Natasha Hughes, Alma Jukic, Vanessa H.H. Chang, Michael R Deans, Ruth Anne Eatock, Kathleen E Cullen, Katie S Kindt and Basile Tarchini | Summary: Otolith organs in the inner ear and neuromasts in the fish lateral-line harbor two populations of hair cells oriented to detect […]


Continue.. Contributions of mirror-image hair cell orientation to mouse otolith organ and zebrafish neuromast function

Exploring the baryonic effect signature in the Hyper Suprime-Cam Year 3 cosmic shear two-point correlations on small scales: the $S_8$ tension remains present

Kavli Affiliate: Masahiro Takada | First 5 Authors: Ryo Terasawa, Xiangchong Li, Masahiro Takada, Takahiro Nishimichi, Satoshi Tanaka | Summary: The baryonic feedback effect is considered as a possible solution to the so-called $S_8$ tension indicated in cosmic shear cosmology. The baryonic effect is more significant on smaller scales, and affects the cosmic shear two-point […]


Continue.. Exploring the baryonic effect signature in the Hyper Suprime-Cam Year 3 cosmic shear two-point correlations on small scales: the $S_8$ tension remains present

Non-invertible symmetries act locally by quantum operations

Kavli Affiliate: Yuji Tachikawa | First 5 Authors: Masaki Okada, Yuji Tachikawa, , , | Summary: Non-invertible symmetries of quantum field theories and many-body systems generalize the concept of symmetries by allowing non-invertible operations in addition to more ordinary invertible ones described by groups. The aim of this paper is to point out that these […]


Continue.. Non-invertible symmetries act locally by quantum operations

Non-invertible symmetries act locally by quantum operations

Kavli Affiliate: Yuji Tachikawa | First 5 Authors: Masaki Okada, Yuji Tachikawa, , , | Summary: Non-invertible symmetries of quantum field theories and many-body systems generalize the concept of symmetries by allowing non-invertible operations in addition to more ordinary invertible ones described by groups. The aim of this paper is to point out that these […]


Continue.. Non-invertible symmetries act locally by quantum operations

Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer

Kavli Affiliate: Ke Wang | First 5 Authors: Yuwen Tan, Qinhao Zhou, Xiang Xiang, Ke Wang, Yuchuan Wu | Summary: Class-incremental learning (CIL) aims to enable models to continuously learn new classes while overcoming catastrophic forgetting. The introduction of pre-trained models has brought new tuning paradigms to CIL. In this paper, we revisit different parameter-efficient […]


Continue.. Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer

Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning

Kavli Affiliate: Ke Wang | First 5 Authors: Qinhao Zhou, Zihan Zhang, Xiang Xiang, Ke Wang, Yuchuan Wu | Summary: Open-source pre-trained Large Language Models (LLMs) exhibit strong language understanding and generation capabilities, making them highly successful in a variety of tasks. However, when used as agents for dealing with complex problems in the real […]


Continue.. Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning