AI Agent - arXivDaily 专题

2102.12574 2021-03-01 cs.AI math.OC 57%

Knowledge engineering mixed-integer linear programming: constraint typology

Vicky Mak-Hau, John Yearwood, William Moran

专题命中工具调用：planning(abstract)；分类 cs.AI

Comments 6 pages, 3 figures. arXiv admin note: substantial text overlap with arXiv:2011.06300

2102.11176 2021-02-23 cs.NI cs.AI cs.IT math.IT 57%

Deep Reinforcement Learning for Dynamic Spectrum Sharing of LTE and NR

Ursula Challita, David Sandberg

专题命中工具调用：planning(abstract)；分类 cs.AI

Comments To appear in the IEEE International Conference on Communications (ICC'21)

2010.00178 2021-02-23 cs.LG eess.SP 57%

Training Data Augmentation for Deep Learning Radio Frequency Systems

William H. Clark, Steven Hauser, William C. Headley, Alan J. Michaels

专题命中工具调用：tool use(abstract)；分类 cs.LG

Comments 18 pages, 11 figures, journal, to be published in Journal of Defense Modeling and Simulation, revisions include typos and other revisions for clarity

1910.00063 2021-02-22 cs.RO cs.AI cs.IT math.IT stat.ML 57%

Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations

Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras

专题命中工具调用：agent(abstract)；分类 cs.AI

Journal ref 2020 IEEE Transactions on Robotics (T-RO)

2102.07073 2021-02-16 cs.LG 57%

Costly Features Classification using Monte Carlo Tree Search

Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning

专题命中工具调用：agent(abstract)；分类 cs.LG

2102.00178 2021-02-02 eess.SP cs.IT cs.LG math.IT 57%

Deep Reinforcement Learning Aided Monte Carlo Tree Search for MIMO Detection

Tz-Wei Mo, Ronald Y. Chang, Te-Yi Kan

专题命中工具调用：agent(abstract)；分类 cs.LG

2101.10670 2021-01-27 cs.AI 57%

Ordinal Monte Carlo Tree Search

Tobias Joppen, Johannes Fürnkranz

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments preprint. arXiv admin note: substantial text overlap with arXiv:1901.04274

1905.05833 2021-01-27 cs.CV cs.LG cs.RO 57%

Supervised Learning of the Next-Best-View for 3D Object Reconstruction

Miguel Mendoza, J. Irving Vasquez-Gomez, Hind Taud, Luis Enrique Sucar, Carolina Reta

专题命中工具调用：planning(abstract)；分类 cs.LG

Comments Under review in Pattern Recognition Letters

Journal ref Pattern Recognition Letters, Volume 133, 2020, Pages 224-231, ISSN 0167-8655

2101.02594 2021-01-08 cs.FL cs.AI 57%

On Satisficing in Quantitative Games

Suguman Bansal, Krishnendu Chatterjee, Moshe Y. Vardi

专题命中工具调用：planning(abstract)；分类 cs.AI

Comments arXiv admin note: text overlap with arXiv:2010.02055

2003.03600 2020-12-25 cs.LG math.CO math.OC stat.ML 57%

Reinforcement Learning for Combinatorial Optimization: A Survey

Nina Mazyavkina, Sergey Sviridov, Sergei Ivanov, Evgeny Burnaev

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments 24 pages

2012.10833 2020-12-22 cs.SE 57%

A Systematic Mapping on the use of Visual Data Mining to Support the Conduct of Systematic Literature Reviews

Katia R. Felizardo, Stephen G. MacDonell, Emília Mendes, José Carlos Maldonado

专题命中工具调用：planning(abstract)；分类 cs.SE

Comments 12 pages, Journal, 14 tables, 4 figures

Journal ref Journal of Software (2012) 7(2), pp.450-461

2002.03620 2020-12-21 cs.NE cs.AI 57%

Novelty Producing Synaptic Plasticity

Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George Fletcher, Mykola Pechenizkiy

专题命中工具调用：agent(abstract)；分类 cs.AI

2012.05585 2020-12-11 eess.IV cs.CV cs.LG 57%

Performance Comparison of Balanced and Unbalanced Cancer Datasets using Pre-Trained Convolutional Neural Network

Ali Narin

专题命中工具调用：tool use(abstract)；分类 cs.LG

Comments Presented for International Conference on Artificial Intelligence towards Industry 4.0 (ICAII4.0 2020)

1901.04274 2020-12-09 cs.AI 57%

Ordinal Monte Carlo Tree Search

Tobias Joppen, Johannes Fürnkranz

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments preview

Journal ref IJCAI Workshop on Monte Carlo Tree Search, 2020

1812.02734 2020-12-08 cs.LG 57%

Learning to Design Circuits

Hanrui Wang, Jiacheng Yang, Hae-Seung Lee, Song Han

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments NeurIPS 2018 Workshop on Machine Learning for Systems; Follow-up extension at DAC 2020 "GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning" at https://gcnrl.mit.edu

2011.13042 2020-11-30 cs.LG 57%

RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design

Cheng-Hao Liu, Maksym Korablyov, Stanisław Jastrzębski, Paweł Włodarczyk-Pruszyński, Yoshua Bengio, Marwin H. S. Segler

专题命中工具调用：planning(abstract)；分类 cs.LG

Comments Machine Learning for Molecules Workshop at NeurIPS 2020

2011.07656 2020-11-23 cs.LG cs.HC cs.RO 57%

Predicting Human Strategies in Simulated Search and Rescue Task

Vidhi Jain, Rohit Jena, Huao Li, Tejus Gupta, Dana Hughes, Michael Lewis, Katia Sycara

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments Accepted at NeurIPS 2020; Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response (AI+HADR 2020)

2010.05269 2020-10-13 cs.CL 57%

Automated Prediction of Medieval Arabic Diacritics

Khalid Alnajjar, Mika Hämäläinen, Niko Partanen, Jack Rueter

专题命中工具调用：tool use(abstract)；分类 cs.CL

2009.14297 2020-10-01 cs.AI 57%

Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network

Xing Wang, Alexander Vinel

专题命中工具调用：agent(abstract)；分类 cs.AI

2004.01275 2020-09-29 eess.AS cs.LG cs.SD q-bio.QM stat.ML 57%

AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App

Ali Imran, Iryna Posokhova, Haneya N. Qureshi, Usama Masood, Muhammad Sajid Riaz, Kamran Ali, Charles N. John, MD Iftikhar Hussain, Muhammad Nabeel

专题命中工具调用：tool use(abstract)；分类 cs.LG

Comments Accepted in Informatics in Medicine Unlocked 2020

Journal ref Informatics in Medicine Unlocked, vol. 20, p. 100378, 2020

2009.12065 2020-09-28 cs.AI 57%

Design and Implementation of TAG: A Tabletop Games Framework

Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raul Montoliu, Diego Perez-Liebana

专题命中工具调用：AI agent(abstract)；分类 cs.AI

Comments 24 pages, 6 figures

2009.11111 2020-09-24 cs.AI 57%

Efficient Incremental Modelling and Solving

Gökberk Koçak, Özgür Akgün, Nguyen Dang, Ian Miguel

专题命中工具调用：planning(abstract)；分类 cs.AI

Journal ref ModRef 2020 - The 19th workshop on Constraint Modelling and Reformulation

2008.08284 2020-08-20 cs.CV cs.LG 57%

Channel-wise Hessian Aware trace-Weighted Quantization of Neural Networks

Xu Qian, Victor Li, Crews Darren

专题命中工具调用：agent(abstract)；分类 cs.LG

1908.00588 2020-08-18 cs.CL 57%

Visualizing RNN States with Predictive Semantic Encodings

Lindsey Sawatzky, Steven Bergner, Fred Popowich

专题命中工具调用：tool use(abstract)；分类 cs.CL

2008.02014 2020-08-06 cs.LG cs.IR stat.ML 57%

Optimizing AD Pruning of Sponsored Search with Reinforcement Learning

Yijiang Lian, Zhijie Chen, Xin Pei, Shuang Li, Yifei Wang, Yuefeng Qiu, Zhiheng Zhang, Zhipeng Tao, Liang Yuan, Hanju Guan, Kefeng Zhang, Zhigang Li, Xiaochun Liu

专题命中工具调用：agent(abstract)；分类 cs.LG

1208.5554 2020-07-28 cs.AI 57%

Soft Computing approaches on the Bandwidth Problem

Gabriela Czibula, Gloria Cerasela Crisan, Camelia-M. Pintea, Istvan-Gergely Czibula

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments 6 pages, 1 figure; accepted to Informatica

Journal ref INFORMATICA 24(2):169-180 (2013)

2003.01197 2020-07-24 cs.RO cs.LG 57%

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method

Wenhao Ding, Baiming Chen, Minjun Xu, Ding Zhao

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments Accepted to IROS 2020

2007.08216 2020-07-17 cs.LG stat.ML 57%

Graph topology inference benchmarks for machine learning

Carlos Lassance, Vincent Gripon, Gonzalo Mateos

专题命中工具调用：tool use(abstract)；分类 cs.LG

Comments To appear in 2020 Machine Learning for Signal Processing. Code available at https://github.com/cadurosar/benchmark_graphinference

1806.08449 2020-07-01 cs.LG cs.IT math.IT stat.ML 57%

Generalizing Correspondence Analysis for Applications in Machine Learning

Hsiang Hsu, Salman Salamatian, Flavio P. Calmon

专题命中工具调用：tool use(abstract)；分类 cs.LG

Comments 30 pages, 7 figures, 6 tables. arXiv admin note: text overlap with arXiv:1902.07828

2006.11321 2020-06-23 cs.LG stat.ML 57%

AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning

Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu

专题命中工具调用：agent(abstract)；分类 cs.LG

1. 工具调用 5062 篇

Knowledge engineering mixed-integer linear programming: constraint typology

Deep Reinforcement Learning for Dynamic Spectrum Sharing of LTE and NR

Training Data Augmentation for Deep Learning Radio Frequency Systems

Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations

Costly Features Classification using Monte Carlo Tree Search

Deep Reinforcement Learning Aided Monte Carlo Tree Search for MIMO Detection

Ordinal Monte Carlo Tree Search

Supervised Learning of the Next-Best-View for 3D Object Reconstruction

On Satisficing in Quantitative Games

Reinforcement Learning for Combinatorial Optimization: A Survey

A Systematic Mapping on the use of Visual Data Mining to Support the Conduct of Systematic Literature Reviews

Novelty Producing Synaptic Plasticity

Performance Comparison of Balanced and Unbalanced Cancer Datasets using Pre-Trained Convolutional Neural Network

Ordinal Monte Carlo Tree Search

Learning to Design Circuits

RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design

Predicting Human Strategies in Simulated Search and Rescue Task

Automated Prediction of Medieval Arabic Diacritics

Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network

AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App

Design and Implementation of TAG: A Tabletop Games Framework

Efficient Incremental Modelling and Solving

Channel-wise Hessian Aware trace-Weighted Quantization of Neural Networks

Visualizing RNN States with Predictive Semantic Encodings

Optimizing AD Pruning of Sponsored Search with Reinforcement Learning

Soft Computing approaches on the Bandwidth Problem

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method

Graph topology inference benchmarks for machine learning

Generalizing Correspondence Analysis for Applications in Machine Learning

AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning