AI Agent - arXivDaily 专题

2010.14500 2020-10-28 cs.LG cs.RO 57%

COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning

Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments Accepted to CoRL 2020. Source code and videos available at https://sites.google.com/view/cog-rl

2010.13303 2020-10-27 cs.LG 57%

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel

专题命中软件智能体：planning(abstract)；分类 cs.LG

Comments Accepted in NeurIPS2020. First two authors contributed equally, website: https://sites.google.com/view/trajectory-mcl code: https://github.com/younggyoseo/trajectory_mcl

2006.06547 2020-10-23 cs.AI 57%

Avoiding Side Effects in Complex Environments

Alexander Matt Turner, Neale Ratzlaff, Prasad Tadepalli

专题命中软件智能体：agent(abstract)；分类 cs.AI

Comments Accepted as spotlight paper at NeurIPS 2020. 10 pages main paper; 19 pages with appendices

2008.08951 2020-10-19 cs.LG stat.ML 57%

Static Neural Compiler Optimization via Deep Reinforcement Learning

Rahim Mammadli, Ali Jannesari, Felix Wolf

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments 11 pages, 5 figures

1912.00342 2020-10-08 cs.CL 57%

Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives

Won Ik Cho, Young Ki Moon, Sangwhan Moon, Seok Min Kim, Nam Soo Kim

专题命中软件智能体：agent(abstract)；分类 cs.CL

Comments Findings of ACL: EMNLP 2020

2009.10807 2020-09-24 cs.SE 57%

A Model-Driven Architecture Approach for Developing Healthcare ERP: Case study in Morocco

Fatima Zahra Yamani, Mohamed El Merouani

专题命中软件智能体：planning(abstract)；分类 cs.SE

Journal ref IJCSI International Journal of Computer Science Issues, Volume 17, Issue 1, January 2020

2009.06796 2020-09-16 cs.IT cs.LG eess.SP math.IT 57%

Decoding Polar Codes with Reinforcement Learning

Nghia Doan, Seyyed Ali Hashemi, Warren Gross

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments Accepted for presentation at IEEE GLOBECOM 2020

2008.03439 2020-08-18 cs.SE 57%

More Effective Software Repository Mining

Adam Tutko, Austin Henley, Audris Mockus

专题命中软件智能体：workflow(abstract)；分类 cs.SE

Comments 5 pages, 3 figures, Submitted to ESEM2020 Emerging Results track

1803.05049 2020-07-31 cs.AI 57%

Fractal AI: A fragile theory of intelligence

Sergio Hernandez Cerezo, Guillem Duran Ballester

专题命中软件智能体：agent(abstract)；分类 cs.AI

Comments 57 pages, python code on https://github.com/FragileTheory/FractalAI, V4: typo in formula at 2.2.3, V4.1 typo in pseudocode at 4.3

2006.09607 2020-06-30 cs.LG stat.ML 57%

Learning What to Defer for Maximum Independent Sets

Sungsoo Ahn, Younggyo Seo, Jinwoo Shin

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments Added section for acknowledgment

2006.11905 2020-06-25 cs.AI cs.MM 57%

Feel The Music: Automatically Generating A Dance For An Input Song

Purva Tendulkar, Abhishek Das, Aniruddha Kembhavi, Devi Parikh

专题命中软件智能体：agent(abstract)；分类 cs.AI

Comments 4 pages

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

1. 软件智能体 3270 篇

COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

Avoiding Side Effects in Complex Environments

Static Neural Compiler Optimization via Deep Reinforcement Learning

Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives

A Model-Driven Architecture Approach for Developing Healthcare ERP: Case study in Morocco

Decoding Polar Codes with Reinforcement Learning

More Effective Software Repository Mining

Fractal AI: A fragile theory of intelligence

Learning What to Defer for Maximum Independent Sets

Feel The Music: Automatically Generating A Dance For An Input Song

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