AI Agent - arXivDaily 专题

1912.00753 2021-06-10 cs.IR cs.AI 57%

Corpus-Level End-to-End Exploration for Interactive Systems

Zhiwen Tang, Grace Hui Yang

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments Accepted into AAAI 2020

2106.03955 2021-06-09 cs.LG stat.ML 57%

Correcting Momentum in Temporal Difference Learning

Emmanuel Bengio, Joelle Pineau, Doina Precup

专题命中工具调用：tool use(abstract)；分类 cs.LG

Comments NeurIPS Deep RL Workshop 2020

2105.12433 2021-05-27 cs.LG 57%

Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity

Michael Morris, Peter Hayes, Ingemar J. Cox, Vasileios Lampos

专题命中工具调用：planning(abstract)；分类 cs.LG

2104.01646 2021-05-19 cs.LG math.OC 57%

SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems

Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Christian Daniel, Dotan Di Castro

专题命中工具调用：planning(abstract)；分类 cs.LG

2105.07960 2021-05-18 cs.NE cs.AI 57%

Behavior-based Neuroevolutionary Training in Reinforcement Learning

Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben

专题命中工具调用：agent(abstract)；分类 cs.AI

2105.07691 2021-05-18 cs.AI 57%

Approximate Novelty Search

Anubhav Singh, Nir Lipovetzky, Miquel Ramirez, Javier Segovia-Aguas

专题命中工具调用：planning(abstract)；分类 cs.AI

2105.05674 2021-05-18 cs.LG 57%

Automatic Classification of Games using Support Vector Machine

Ismo Horppu, Antti Nikander, Elif Buyukcan, Jere Mäkiniemi, Amin Sorkhei, Frederick Ayala-Gómez

专题命中工具调用：planning(abstract)；分类 cs.LG

Comments 7 pages, 7 figures, updated contact information of one author

2002.03129 2021-05-13 cs.LG cs.SI stat.ML 57%

GLSearch: Maximum Common Subgraph Detection via Learning to Search

Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments Accepted by ICML 2021

2104.08886 2021-04-20 cs.CV cs.AI eess.IV 57%

Convolutional Neural Networks in Orthodontics: a review

Szymon Płotka, Tomasz Włodarczyk, Ryszard Szczerba, Przemysław Rokita, Patrycja Bartkowska, Oskar Komisarek, Artur Matthews-Brzozowski, Tomasz Trzciński

专题命中工具调用：planning(abstract)；分类 cs.AI

Comments Preprint to Elsevier

2104.00060 2021-04-02 cs.AI 57%

Generalized Conflict-directed Search for Optimal Ordering Problems

Jingkai Chen, Yuening Zhang, Cheng Fang, Brian C. Williams

专题命中工具调用：planning(abstract)；分类 cs.AI

Comments Accepted at SOCS2021. 9 pages, 4 figures, 2 tables

2103.16977 2021-04-01 econ.GN cs.LG cs.MA q-fin.EC stat.ML 57%

Solving Heterogeneous General Equilibrium Economic Models with Deep Reinforcement Learning

Edward Hill, Marco Bardoscia, Arthur Turrell

专题命中工具调用：tool use(abstract)；分类 cs.LG

Comments 11 pages, 5 figures

2103.12221 2021-03-24 cs.SE cs.NI 57%

Mining Scientific Workflows for Anomalous Data Transfers

Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies

专题命中工具调用：workflow(abstract)；分类 cs.SE

Comments Accepted for MSR 2021: Working Conference on Mining Software Repositories (https://2021.msrconf.org/details/msr-2021-technical-papers/1/Mining-Workflows-for-Anomalous-Data-Transfers)

2103.03913 2021-03-09 q-fin.CP cs.LG q-fin.RM 57%

Deep Hedging, Generative Adversarial Networks, and Beyond

Hyunsu Kim

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments 37 pages

2011.06300 2021-03-02 cs.AI 57%

A Knowledge Representation Approach to Automated Mathematical Modelling

Bahadorreza Ofoghi, Vicky Mak, John Yearwood

专题命中工具调用：planning(abstract)；分类 cs.AI

Comments 10 pages, 2 figures

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

1. 工具调用 5112 篇

Corpus-Level End-to-End Exploration for Interactive Systems

Correcting Momentum in Temporal Difference Learning

Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity

SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems

Behavior-based Neuroevolutionary Training in Reinforcement Learning

Approximate Novelty Search

Automatic Classification of Games using Support Vector Machine

GLSearch: Maximum Common Subgraph Detection via Learning to Search

Convolutional Neural Networks in Orthodontics: a review

Generalized Conflict-directed Search for Optimal Ordering Problems

Solving Heterogeneous General Equilibrium Economic Models with Deep Reinforcement Learning

Mining Scientific Workflows for Anomalous Data Transfers

Deep Hedging, Generative Adversarial Networks, and Beyond

A Knowledge Representation Approach to Automated Mathematical Modelling

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