AI Agent - arXivDaily 专题

2005.11142 2020-05-25 eess.SY cs.LG cs.SY 57%

Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks

Haotian Liu, Wenchuan Wu

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments 8 pages

2005.07355 2020-05-18 cs.CL 57%

A chatbot architecture for promoting youth resilience

Chester Holt-Quick, Jim Warren, Karolina Stasiak, Ruth Williams, Grant Christie, Sarah Hetrick, Sarah Hopkins, Tania Cargo, Sally Merry

专题命中软件智能体：agent(abstract)；分类 cs.CL

Comments 7 pages, 4 figures, submitted to Australian Health Informatics Conference, Brisbane, October 2020

2003.08165 2020-04-03 cs.NE cs.CV cs.LG 57%

Neuroevolution of Self-Interpretable Agents

Yujin Tang, Duong Nguyen, David Ha

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments To appear at the Genetic and Evolutionary Computation Conference (GECCO 2020) as a full paper

2002.07007 2020-02-18 q-bio.QM cs.LG stat.ML 57%

The Synthesizability of Molecules Proposed by Generative Models

Wenhao Gao, Connor W. Coley

专题命中软件智能体：planning(abstract)；分类 cs.LG

2002.03842 2020-02-11 cs.AI 57%

Overview of chemical ontologies

Christian Pachl, Nils Frank, Jan Breitbart, Stefan Bräse

专题命中软件智能体：agent(abstract)；分类 cs.AI

Comments 2 Figures

1912.07190 2019-12-17 cs.CV cs.LG eess.IV 57%

PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing

Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments To appear in IEEE Transactions on Multimedia (TMM), Special Issue on Multimedia Computing with Interpretable Machine Learning. Extended version of our paper in AAAI 2019 (arXiv:1811.04323)

1911.04448 2019-12-13 cs.LG stat.ML 57%

Real-Time Reinforcement Learning

Simon Ramstedt, Christopher Pal

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments Neural Information Processing Systems (2019)

1912.04321 2019-12-11 cs.IT cs.LG math.IT 57%

Learning to Code: Coded Caching via Deep Reinforcement Learning

Navid Naderializadeh, Seyed Mohammad Asghari

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments Presented at the 2019 Asilomar Conference on Signals, Systems, and Computers

1909.08766 2019-10-16 cs.HC cs.AI cs.CV cs.GR 57%

A High-Fidelity Open Embodied Avatar with Lip Syncing and Expression Capabilities

Deepali Aneja, Daniel McDuff, Shital Shah

专题命中软件智能体：agent(abstract)；分类 cs.AI

Comments International Conference on Multimodal Interaction (ICMI 2019)

1910.05092 2019-10-14 cs.MA cs.LG 57%

Modeling Cyber-Physical Human Systems via an Interplay Between Reinforcement Learning and Game Theory

Mert Albaba, Yildiray Yildiz

专题命中软件智能体：agent(abstract)；分类 cs.LG

1907.00172 2019-07-02 cs.SE 57%

Model Checking a C++ Software Framework, a Case Study

John Lång, I. S. W. B. Prasetya

专题命中软件智能体：workflow(abstract)；分类 cs.SE

Comments In Proceedings of the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '19), August 26-30, 2019, Tallinn, Estonia. ACM, New York, NY, USA, 11 pages

1906.09480 2019-06-25 stat.ML cs.LG cs.NE q-bio.NC 57%

A neurally plausible model learns successor representations in partially observable environments

Eszter Vertes, Maneesh Sahani

专题命中软件智能体：agent(abstract)；分类 cs.LG

1904.08410 2019-04-23 cs.CV cs.LG stat.ML 57%

Neural Painters: A learned differentiable constraint for generating brushstroke paintings

Reiichiro Nakano

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments Added more references and acknowledgments

1511.03958 2019-04-04 cs.AI 57%

Software Agents with Concerns of their Own

Luis Botelho, Luis Nunes, Ricardo Ribeiro, Rui J. Lopes

专题命中软件智能体：agent(abstract)；分类 cs.AI

1803.06516 2019-03-20 cs.SE 57%

Presentation Proposal: Towards Efficient Data-flow Test Data Generation Using KLEE

Chengyu Zhang, Ting Su, Yichen Yan, Ke Wu, Geguang Pu

专题命中软件智能体：planning(abstract)；分类 cs.SE

1812.03973 2019-03-07 cs.LG cs.PL stat.ML 57%

Bayesian Layers: A Module for Neural Network Uncertainty

Dustin Tran, Michael W. Dusenberry, Mark van der Wilk, Danijar Hafner

专题命中软件智能体：planning(abstract)；分类 cs.LG

Comments Code available at https://github.com/tensorflow/tensor2tensor

1809.07893 2019-02-07 cs.GT cs.AI 57%

Solving Large Extensive-Form Games with Strategy Constraints

Trevor Davis, Kevin Waugh, Michael Bowling

专题命中软件智能体：agent(abstract)；分类 cs.AI

Comments Appeared in AAAI 2019

1804.00168 2019-01-11 cs.AI 57%

Learning to Navigate in Cities Without a Map

Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell

专题命中软件智能体：agent(abstract)；分类 cs.AI

Comments 17 pages, 16 figures, published at NeurIPS 2018

Journal ref Neural Information Processing Systems 2018

1809.02840 2018-10-29 cs.LG stat.ML 57%

Neural Guided Constraint Logic Programming for Program Synthesis

Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Matthew Might, Raquel Urtasun, Richard Zemel

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments To appear in NIPS 2018

1809.01124 2018-09-05 cs.CV cs.AI 57%

Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering

Medhini Narasimhan, Alexander G. Schwing

专题命中软件智能体：autonomous agent(abstract)；分类 cs.AI

Comments Accepted to ECCV 2018

1807.07134 2018-07-20 cs.AI 57%

Representational efficiency outweighs action efficiency in human program induction

Sophia Sanborn, David D. Bourgin, Michael Chang, Thomas L. Griffiths

专题命中软件智能体：planning(abstract)；分类 cs.AI

1804.01118 2018-04-05 cs.CV cs.LG stat.ML 57%

Synthesizing Programs for Images using Reinforced Adversarial Learning

Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments 12 pages, 13 figures

1802.02528 2018-02-08 cs.AI cs.NE 57%

Classification of Things in DBpedia using Deep Neural Networks

Rahul Parundekar

专题命中软件智能体：agent(abstract)；分类 cs.AI

Journal ref Classification of Things in DBpedia using Deep Neural Networks, R Parundekar, International Journal of Web & Semantic Technology (IJWesT) Vol.9, No.1, January 2018

1802.02436 2018-02-08 stat.ML cs.CV cs.LG 57%

Stochastic Deconvolutional Neural Network Ensemble Training on Generative Pseudo-Adversarial Networks

Alexey Chaplygin, Joshua Chacksfield

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments 11 pages

1707.00015 2018-02-06 cs.SE 57%

Deuce: A Lightweight User Interface for Structured Editing

Brian Hempel, Justin Lubin, Grace Lu, Ravi Chugh

专题命中软件智能体：workflow(abstract)；分类 cs.SE

Comments ICSE 2018 Paper + Supplementary Appendices

1801.06740 2018-01-23 cs.MA cs.AI 57%

Knowledge Representation for High-Level Norms and Violation Inference in Logic Programming

Babatunde Opeoluwa Akinkunmi, Moyin Florence Babalola

专题命中软件智能体：agent(abstract)；分类 cs.AI

Comments 24 pages

1801.04589 2018-01-16 cs.AI cs.CR 57%

Deep Reinforcement Fuzzing

Konstantin Böttinger, Patrice Godefroid, Rishabh Singh

专题命中软件智能体：agent(abstract)；分类 cs.AI

1711.05340 2017-11-16 cs.SE 57%

Boosting Automatic Commit Classification Into Maintenance Activities By Utilizing Source Code Changes

Stanislav Levin, Amiram Yehudai

专题命中软件智能体：planning(abstract)；分类 cs.SE

Comments postprint, PROMISE 2017

1701.05472 2017-11-15 cs.SE 57%

Do Code Clones Matter?

Elmar Juergens, Florian Deissenboeck, Benjamin Hummel, Stefan Wagner

专题命中软件智能体：tool use(abstract)；分类 cs.SE

Comments 12 pages, 7 figures in Proc. 31st International Conference on Software Engineering (ICSE '09). IEEE, 2009

Journal ref Proc. 31st International Conference on Software Engineering (ICSE '09). IEEE, 2009

1708.00376 2017-08-02 cs.AI 57%

Using Program Induction to Interpret Transition System Dynamics

Svetlin Penkov, Subramanian Ramamoorthy

专题命中软件智能体：agent(abstract)；分类 cs.AI

Comments Presented at 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017), Sydney, NSW, Australia. arXiv admin note: substantial text overlap with arXiv:1705.08320

1. 软件智能体 3224 篇

Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks

A chatbot architecture for promoting youth resilience

Neuroevolution of Self-Interpretable Agents

The Synthesizability of Molecules Proposed by Generative Models

Overview of chemical ontologies

PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing

Real-Time Reinforcement Learning

Learning to Code: Coded Caching via Deep Reinforcement Learning

A High-Fidelity Open Embodied Avatar with Lip Syncing and Expression Capabilities

Modeling Cyber-Physical Human Systems via an Interplay Between Reinforcement Learning and Game Theory

Model Checking a C++ Software Framework, a Case Study

A neurally plausible model learns successor representations in partially observable environments

Neural Painters: A learned differentiable constraint for generating brushstroke paintings

Software Agents with Concerns of their Own

Presentation Proposal: Towards Efficient Data-flow Test Data Generation Using KLEE

Bayesian Layers: A Module for Neural Network Uncertainty

Solving Large Extensive-Form Games with Strategy Constraints

Learning to Navigate in Cities Without a Map

Neural Guided Constraint Logic Programming for Program Synthesis

Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering

Representational efficiency outweighs action efficiency in human program induction

Synthesizing Programs for Images using Reinforced Adversarial Learning

Classification of Things in DBpedia using Deep Neural Networks

Stochastic Deconvolutional Neural Network Ensemble Training on Generative Pseudo-Adversarial Networks

Deuce: A Lightweight User Interface for Structured Editing

Knowledge Representation for High-Level Norms and Violation Inference in Logic Programming

Deep Reinforcement Fuzzing

Boosting Automatic Commit Classification Into Maintenance Activities By Utilizing Source Code Changes

Do Code Clones Matter?

Using Program Induction to Interpret Transition System Dynamics