AI Agent - arXivDaily 专题

2106.14347 2021-06-29 cs.DC cs.LG 57%

Revelio: ML-Generated Debugging Queries for Distributed Systems

Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman, Shiv Kumar Saini, George Varghese, Ravi Netravali

专题命中软件智能体：workflow(abstract)；分类 cs.LG

2106.13186 2021-06-25 cs.CY cs.AI 57%

CCC/Code 8.7: Applying AI in the Fight Against Modern Slavery

Nadya Bliss, Mark Briers, Alice Eckstein, James Goulding, Daniel P. Lopresti, Anjali Mazumder, Gavin Smith

专题命中软件智能体：planning(abstract)；分类 cs.AI

Comments A Computing Community Consortium (CCC) workshop report, 24 pages

2106.09170 2021-06-18 cs.LG 57%

A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams

Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Mello, Jesse Read, Minh Huong Le Nguyen, Albert Bifet

专题命中软件智能体：agent(abstract)；分类 cs.LG

2106.08863 2021-06-17 cs.LG 57%

Unbiased Methods for Multi-Goal Reinforcement Learning

Léonard Blier, Yann Ollivier

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments 9 pages

2106.08272 2021-06-16 cs.LG q-bio.QM 57%

Deep Reinforcement Learning for Conservation Decisions

Marcus Lapeyrolerie, Melissa S. Chapman, Kari E. A. Norman, Carl Boettiger

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments 4 appendices

2011.09999 2021-05-24 cs.LG cs.RO cs.SY eess.SY 57%

Inverse Constrained Reinforcement Learning

Usman Anwar, Shehryar Malik, Alireza Aghasi, Ali Ahmed

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments Camera-ready version for ICML 2021

2007.05929 2021-05-21 cs.LG stat.ML 57%

Data-Efficient Reinforcement Learning with Self-Predictive Representations

Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments The first two authors contributed equally to this work. v4 includes new ablations and reformatting for ICLR camera ready

2011.02881 2021-05-18 eess.IV cs.CV cs.LG 57%

A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation

Chenggang Lyu, Hai Shu

专题命中软件智能体：planning(abstract)；分类 cs.LG

Journal ref Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (BrainLes 2020)

2105.00839 2021-05-04 cs.AI cs.GT 57%

Elo Ratings for Large Tournaments of Software Agents in Asymmetric Games

Ben Wise

专题命中软件智能体：AI agent(abstract)；分类 cs.AI

Comments 75 pages, 11 figures

2104.14138 2021-04-30 cs.LG 57%

Adapting to Reward Progressivity via Spectral Reinforcement Learning

Michael Dann, John Thangarajah

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments 16 pages, 8 figures, 3 tables, accepted as a conference paper at ICLR 2021

2104.01537 2021-04-06 cs.SE 57%

Code Reviews with Divergent Review Scores: An Empirical Study of the OpenStack and Qt Communities

Toshiki Hirao, Shane McIntosh, Akinori Ihara, Kenichi Matsumoto

专题命中软件智能体：planning(abstract)；分类 cs.SE

Comments 2 pages, 1 table, Journal First, International Conference on Software Engineering 2021

Journal ref IEEE Transactions on Software Engineering, 03 March 2020

2103.16674 2021-04-01 eess.AS cs.CL cs.HC cs.SD 57%

Pre-training for low resource speech-to-intent applications

Pu Wang, Hugo Van hamme

专题命中软件智能体：agent(abstract)；分类 cs.CL

2012.11790 2021-04-01 cs.LG cs.SY eess.SY 57%

A Dynamic Penalty Function Approach for Constraints-Handling in Reinforcement Learning

Haeun Yoo, Victor M. Zavala, Jay H. Lee

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments Submitted to ADCHEM 2021

2011.13917 2021-03-30 cs.CV cs.LG 57%

Task Programming: Learning Data Efficient Behavior Representations

Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments To appear in as an Oral in CVPR 2021. Code: https://github.com/neuroethology/TREBA. Project page: https://sites.google.com/view/task-programming

2103.07607 2021-03-22 cs.LG 57%

Solving Compositional Reinforcement Learning Problems via Task Reduction

Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu

专题命中软件智能体：agent(abstract)；分类 cs.LG

Comments Project website link updated

2006.07260 2021-02-26 stat.ML cs.LG math.OC 57%

Equitable and Optimal Transport with Multiple Agents

Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi

专题命中软件智能体：agent(abstract)；分类 cs.LG

2009.11423 2021-02-12 cs.CL 57%

Task-Oriented Dialogue as Dataflow Synthesis

Semantic Machines, Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov

专题命中软件智能体：agent(abstract)；分类 cs.CL

Journal ref Transactions of the Association for Computational Linguistics 2020 Vol. 8, 556-571

2011.06275 2021-01-19 cs.AI cs.CY 57%

Performance of Bounded-Rational Agents With the Ability to Self-Modify

Jakub Tětek, Marek Sklenka, Tomáš Gavenčiak

专题命中软件智能体：agent(abstract)；分类 cs.AI

Comments Fixed minor problems; To appear in SafeAI @ AAAI 2021

1607.00913 2021-01-12 cs.CY cs.AI 57%

Superintelligence cannot be contained: Lessons from Computability Theory

Manuel Alfonseca, Manuel Cebrian, Antonio Fernandez Anta, Lorenzo Coviello, Andres Abeliuk, Iyad Rahwan

专题命中软件智能体：agent(abstract)；分类 cs.AI

Comments 7 pages, 5 figures

Journal ref Journal of Artificial Intelligence Research (JAIR) 70 (2021) 65-76

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

1. 软件智能体 3224 篇

Revelio: ML-Generated Debugging Queries for Distributed Systems

CCC/Code 8.7: Applying AI in the Fight Against Modern Slavery

A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams

Unbiased Methods for Multi-Goal Reinforcement Learning

Deep Reinforcement Learning for Conservation Decisions

Inverse Constrained Reinforcement Learning

Data-Efficient Reinforcement Learning with Self-Predictive Representations

A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation

Elo Ratings for Large Tournaments of Software Agents in Asymmetric Games

Adapting to Reward Progressivity via Spectral Reinforcement Learning

Code Reviews with Divergent Review Scores: An Empirical Study of the OpenStack and Qt Communities

Pre-training for low resource speech-to-intent applications

A Dynamic Penalty Function Approach for Constraints-Handling in Reinforcement Learning

Task Programming: Learning Data Efficient Behavior Representations

Solving Compositional Reinforcement Learning Problems via Task Reduction

Equitable and Optimal Transport with Multiple Agents

Task-Oriented Dialogue as Dataflow Synthesis

Performance of Bounded-Rational Agents With the Ability to Self-Modify

Superintelligence cannot be contained: Lessons from Computability Theory

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