AI Agent - arXivDaily 专题

1908.04734 2021-03-29 cs.AI cs.LG 62%

Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective

Tom Everitt, Marcus Hutter, Ramana Kumar, Victoria Krakovna

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted to Synthese, March 2021

2102.09268 2021-03-08 cs.IR cs.AI cs.CL 62%

Training Large-Scale News Recommenders with Pretrained Language Models in the Loop

Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.CL

2102.07589 2021-02-16 cs.AI cs.NE cs.SE 62%

A Reference Model for IoT Embodied Agents Controlled by Neural Networks

Nathalia Nascimento, Paulo Alencar, Donald Cowan, Carlos Lucena

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.SE

Comments 6 pages, Accepted to be published in IEEE Big Data Conference Proceedings (IEEE Computer Society Press)

2102.07097 2021-02-16 cs.LG cs.AI 62%

Domain Adversarial Reinforcement Learning

Bonnie Li, Vincent François-Lavet, Thang Doan, Joelle Pineau

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

2007.14196 2021-02-15 cs.LG cs.AI 62%

Lifelong Incremental Reinforcement Learning with Online Bayesian Inference

Zhi Wang, Chunlin Chen, Daoyi Dong

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems, 2021

2102.06045 2021-02-12 cs.LG cs.AI q-bio.QM 62%

Artificial Intelligence based Autonomous Molecular Design for Medical Therapeutic: A Perspective

Rajendra P. Joshi, Neeraj Kumar

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.LG

2005.03898 2021-02-09 cs.AI cs.NE cs.SE 62%

Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking

Lenz Belzner, Martin Wirsing

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.SE

2012.08178 2020-12-16 cs.DL cs.AI cs.HC cs.SE 62%

On how Cognitive Computing will plan your next Systematic Review

Maisie Badami, Marcos Baez, Shayan Zamanirad, Wei Kang

专题命中工作流自动化：planning(abstract)；分类 cs.AI、cs.SE

2002.12620 2020-12-14 cs.CL cs.LG cs.NE 62%

TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing

Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu

专题命中工作流自动化：workflow(abstract)；分类 cs.CL、cs.LG

Comments To appear at ACL 2020 Demo Session

2012.01778 2020-12-04 cs.HC cs.AI cs.CV cs.LG 62%

NICER: Aesthetic Image Enhancement with Humans in the Loop

Michael Fischer, Konstantin Kobs, Andreas Hotho

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.LG

Comments The code can be found at https://github.com/mr-Mojo/NICER

Journal ref ACHI 2020, The Thirteenth International Conference on Advances in Computer-Human Interactions; 2020; pages 357-362

2007.01137 2020-11-26 cs.SE cs.LG stat.ML 62%

Testing match-3 video games with Deep Reinforcement Learning

Nicholas Napolitano

专题命中工作流自动化：agent(abstract)；分类 cs.LG、cs.SE

2011.08820 2020-11-18 cs.LG cs.AI 62%

REALab: An Embedded Perspective on Tampering

Ramana Kumar, Jonathan Uesato, Richard Ngo, Tom Everitt, Victoria Krakovna, Shane Legg

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

2011.01646 2020-11-04 cs.AI cs.SE 62%

Automated simulation and verification of process models discovered by process mining

Ivona Zakarija, Frano Škopljanac-Mačina, Bruno Blašković

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.SE

Comments 12 pages, 13 figures and 3 tables, published in Automatika, vol. 61, no. 2, pp.312-324, 2020

Journal ref AUTOMATIKA, VOL. 61, NO. 2, 2020, pp. 312-324

2004.10439 2020-11-04 cs.RO cs.AI cs.LG 62%

Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty Estimation

Carl-Johan Hoel, Krister Wolff, Leo Laine

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Journal ref IEEE Intelligent Vehicles Symposium (IV), 2020, pp. 1292-1298

2010.14616 2020-10-29 cs.NE cs.AI cs.LG cs.MA 62%

Lineage Evolution Reinforcement Learning

Zeyu Zhang, Guisheng Yin

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

2010.02256 2020-10-13 cs.CL cs.LG 62%

An Ensemble Approach for Automatic Structuring of Radiology Reports

Morteza Pourreza Shahri, Amir Tahmasebi, Bingyang Ye, Henghui Zhu, Javed Aslam, Timothy Ferris

专题命中工作流自动化：workflow(abstract)；分类 cs.CL、cs.LG

Comments Accepted by the 3rd Clinical NLP Workshop at EMNLP 2020

1910.02052 2020-10-13 eess.SP cs.AI cs.LG 62%

AI Assisted Annotator using Reinforcement Learning

V. Ratna Saripalli, Gopal Avinash, Dibyajyoti Pati, Michael Potter, Charles W. Anderson

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 10 pages

2008.12001 2020-09-17 cs.LG cs.AI stat.ML 62%

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning

Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted by ICDM 2020. In this version, we revised some typos or mistakes for camera-ready

2008.09237 2020-08-24 cs.IR cs.AI cs.CL 62%

COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce

Zuohui Fu, Yikun Xian, Yaxin Zhu, Yongfeng Zhang, Gerard de Melo

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.CL

2007.04756 2020-07-22 cs.AI cs.CV cs.LG cs.NE 62%

Learning to Prune Deep Neural Networks via Reinforcement Learning

Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Lin Jie

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted at the ICML 2020 Workshop on Automated Machine Learning (AutoML 2020)

2006.11465 2020-07-14 cs.NE cs.AI cs.CL 62%

Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives

Junpei Zhong, Angelo Cangelosi, Stefan Wermter

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.CL

Journal ref Frontiers in behavioral neuroscience, 8, 22 (2014)

2007.00162 2020-07-02 eess.SP cs.AI cs.LG 62%

A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs

Wonjun Ko, Eunjin Jeon, Heung-Il Suk

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 8 pages, 6 figures, 2 tables, and under review

2006.12903 2020-06-24 cs.AI cs.LG 62%

ELSIM: End-to-end learning of reusable skills through intrinsic motivation

Arthur Aubret, Laetitia Matignon, Salima Hassas

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted at ECML 2020

2006.12587 2020-06-24 cs.DC cs.AI cs.LG cs.SY eess.SY 62%

PipeSim: Trace-driven Simulation of Large-Scale AI Operations Platforms

Thomas Rausch, Waldemar Hummer, Vinod Muthusamy

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.LG

Comments 11 pages, 13 figures, extended version of OpML'20 paper

1812.00825 2020-06-03 cs.CV cs.AI cs.LG 62%

Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration

Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu, Kunal Nagpal, Timo Kohlberger, Jeffrey Dean, Greg S. Corrado, Jason D. Hipp, Martin C. Stumpe

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.LG

Journal ref Nature Medicine (2019)

2004.00994 2020-05-26 cs.LG cs.AI stat.ML 62%

Learning to Ask Medical Questions using Reinforcement Learning

Uri Shaham, Tom Zahavy, Cesar Caraballo, Shiwani Mahajan, Daisy Massey, Harlan Krumholz

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

2005.09867 2020-05-21 cs.LG cs.AI 62%

A reinforcement learning based decision support system in textile manufacturing process

Zhenglei He, Kim Phuc Tran, Sébastien Thomassey, Xianyi Zeng, Changhai Yi

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Journal ref 15th International Conference on Intelligent Systems and Knowledge Engineering (ISKE2020), Aug 2020, Cologne, Germany

2004.07352 2020-04-17 cs.SE cs.IR cs.LG 62%

Ownership at Large -- Open Problems and Challenges in Ownership Management

John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Shan He, Ralf Lämmel, Erik Meijer, Silvia Sapora, Justin Spahr-Summers

专题命中工作流自动化：workflow(abstract)；分类 cs.LG、cs.SE

Comments Author order is alphabetical. Contact author: Ralf Lämmel (rlaemmel@acm.org). The subject of the paper is covered by the contact author's keynote at the same conference

2003.12900 2020-03-31 cs.CL cs.AI 62%

Orchestrating NLP Services for the Legal Domain

Julián Moreno-Schneider, Georg Rehm, Elena Montiel-Ponsoda, Víctor Rodriguez-Doncel, Artem Revenko, Sotirios Karampatakis, Maria Khvalchik, Christian Sageder, Jorge Gracia, Filippo Maganza

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.CL

Comments Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020). To appear

2002.12156 2020-03-24 cs.LG cs.AI cs.LO cs.SY eess.SY stat.ML 62%

Cautious Reinforcement Learning with Logical Constraints

Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted to AAMAS 2020. arXiv admin note: text overlap with arXiv:1902.00778

1. 工作流自动化 10469 篇

Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective

Training Large-Scale News Recommenders with Pretrained Language Models in the Loop

A Reference Model for IoT Embodied Agents Controlled by Neural Networks

Domain Adversarial Reinforcement Learning

Lifelong Incremental Reinforcement Learning with Online Bayesian Inference

Artificial Intelligence based Autonomous Molecular Design for Medical Therapeutic: A Perspective

Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking

On how Cognitive Computing will plan your next Systematic Review

TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing

NICER: Aesthetic Image Enhancement with Humans in the Loop

Testing match-3 video games with Deep Reinforcement Learning

REALab: An Embedded Perspective on Tampering

Automated simulation and verification of process models discovered by process mining

Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty Estimation

Lineage Evolution Reinforcement Learning

An Ensemble Approach for Automatic Structuring of Radiology Reports

AI Assisted Annotator using Reinforcement Learning

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning

COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce

Learning to Prune Deep Neural Networks via Reinforcement Learning

Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives

A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs

ELSIM: End-to-end learning of reusable skills through intrinsic motivation

PipeSim: Trace-driven Simulation of Large-Scale AI Operations Platforms

Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration

Learning to Ask Medical Questions using Reinforcement Learning

A reinforcement learning based decision support system in textile manufacturing process

Ownership at Large -- Open Problems and Challenges in Ownership Management

Orchestrating NLP Services for the Legal Domain

Cautious Reinforcement Learning with Logical Constraints