AI Agent - arXivDaily 专题

1907.06090 2019-07-16 cs.LG cs.AI stat.ML 62%

Parameterized Exploration

Jesse Clifton, Lili Wu, Eric Laber

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

1906.12189 2019-07-02 eess.SY cs.AI cs.LG cs.SY 62%

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning

Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Joschka Boedecker, Andreas Krause

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 14 pages, 7 figures. arXiv admin note: substantial text overlap with arXiv:1803.08287

1905.13566 2019-06-20 cs.RO cs.AI cs.LG 62%

Recent Advances in Imitation Learning from Observation

Faraz Torabi, Garrett Warnell, Peter Stone

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments International Joint Conference on Artificial Intelligence (IJCAI 2019)

1906.07154 2019-06-18 cs.SE cs.LG 62%

Machine Learning Software Engineering in Practice: An Industrial Case Study

Md Saidur Rahman, Emilio Rivera, Foutse Khomh, Yann-Gaël Guéhéneuc, Bernd Lehnert

专题命中工作流自动化：workflow(abstract)；分类 cs.LG、cs.SE

Comments 21 pages, 5 figures

1906.06178 2019-06-17 cs.LG cs.AI stat.ML 62%

Curriculum Learning for Cumulative Return Maximization

Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19). arXiv admin note: text overlap with arXiv:1901.11478

1906.00535 2019-06-04 cs.LG cs.AI 62%

Towards Interactive Training of Non-Player Characters in Video Games

Igor Borovikov, Jesse Harder, Michael Sadovsky, Ahmad Beirami

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA

1905.04655 2019-05-14 cs.CL cs.AI cs.RO stat.ML 62%

Improving Natural Language Interaction with Robots Using Advice

Nikhil Mehta, Dan Goldwasser

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.CL

Comments Accepted as a short paper at NAACL 2019 (8 pages)

1905.02941 2019-05-09 cs.LG cs.AI stat.ML 62%

Robust Federated Training via Collaborative Machine Teaching using Trusted Instances

Yufei Han, Xiangliang Zhang

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

1903.02526 2019-04-23 cs.LG cs.AI cs.RO 62%

Safety-Guided Deep Reinforcement Learning via Online Gaussian Process Estimation

Jiameng Fan, Wenchao Li

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 13 pages, 5 figures

1904.08051 2019-04-18 cs.CL cs.LG 62%

Posterior-regularized REINFORCE for Instance Selection in Distant Supervision

Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang

专题命中工作流自动化：agent(abstract)；分类 cs.CL、cs.LG

Comments Five pages

Journal ref naacl 2019

1903.04311 2019-04-12 cs.LG cs.AI cs.NE 62%

Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with Minecraft

Clément Romac, Vincent Béraud

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

1903.07406 2019-03-19 cs.CL cs.LG stat.ML 62%

Automatic Classification of Pathology Reports using TF-IDF Features

Shivam Kalra, Larry Li, Hamid R. Tizhoosh

专题命中工作流自动化：workflow(abstract)；分类 cs.CL、cs.LG

1810.09352 2019-03-18 cs.LG cs.AI stat.ML 62%

On The Stability of Interpretable Models

Riccardo Guidotti, Salvatore Ruggieri

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

1709.08519 2019-01-17 quant-ph cond-mat.mes-hall cs.AI cs.LG stat.ML 62%

Enhanced Quantum Synchronization via Quantum Machine Learning

F. A. Cárdenas-López, M. Sanz, J. C. Retamal, E. Solano

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Journal ref Adv. Quantum Technol. 1800076 (2019)

1901.03678 2019-01-14 cs.LG cs.AI stat.ML 62%

Machine Learning Automation Toolbox (MLaut)

Viktor Kazakov, Franz J. Király

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.LG

1901.02219 2019-01-09 cs.LG cs.AI stat.ML 62%

Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning

Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

1812.06855 2018-12-18 cs.LG cs.AI stat.ML 62%

Bayesian Optimization in AlphaGo

Yutian Chen, Aja Huang, Ziyu Wang, Ioannis Antonoglou, Julian Schrittwieser, David Silver, Nando de Freitas

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

1703.10284 2018-11-28 cs.AI cs.LG 62%

Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization

Mark O. Riedl, Brent Harrison

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 6 pages; 1 figure; title, abstract updated; new experimental results

Journal ref Proceedings of the AAAI 2019 Workshop on SafeAI

1811.09558 2018-11-26 cs.LG cs.AI stat.ML 62%

Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior

Zi Wang, Beomjoon Kim, Leslie Pack Kaelbling

专题命中工作流自动化：planning(abstract)；分类 cs.AI、cs.LG

Comments Proceedings of the Thirty-second Conference on Neural Information Processing Systems, 2018

1811.05106 2018-11-14 cs.AI cs.CL 62%

Interpreting Models by Allowing to Ask

Sungmin Kang, David Keetae Park, Jaehyuk Chang, Jaegul Choo

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.CL

Comments 10 pages

1809.07436 2018-11-09 cs.CV cs.AI cs.LG 62%

Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images

Chengsheng Mao, Yiheng Pan, Zexian Zeng, Liang Yao, Yuan Luo

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.LG

Comments BIBM 2018 accepted

1805.03359 2018-11-09 cs.LG cs.AI stat.ML 62%

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

Joshua Romoff, Peter Henderson, Alexandre Piché, Vincent Francois-Lavet, Joelle Pineau

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments Version 1 as appears in the International Conference on Learning Representations (ICLR) 2018 Workshop Track; Version 2 as appears in the Proceedings of The 2nd Conference on Robot Learning

1809.05650 2018-10-17 cs.AI cs.LG 62%

Detecting and Explaining Drifts in Yearly Grant Applications

Stephen Pauwels, Toon Calders

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.LG

Comments BPI Challenge 2018 - Academic Report

1808.08953 2018-10-17 cs.AI cs.CL 62%

Term Set Expansion based NLP Architect by Intel AI Lab

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat

专题命中工作流自动化：workflow(abstract)；分类 cs.AI、cs.CL

Comments EMNLP 2018 System Demonstrations. arXiv admin note: substantial text overlap with arXiv:1807.10104

1809.10788 2018-10-01 cs.RO cs.AI cs.LG 62%

Learning and Acting in Peripersonal Space: Moving, Reaching, and Grasping

Jonathan Juett, Benjamin Kuipers

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 35 pages, 13 figures

1809.08343 2018-09-25 cs.LG cs.AI stat.ML 62%

Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration

Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush Varshney, Murray Campbell, Moninder Singh, Francesca Rossi

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 8 pages, 3 figures

1803.05752 2018-09-21 cs.RO cs.AI cs.LG 62%

Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning

Weihao Yuan, Johannes A. Stork, Danica Kragic, Michael Y. Wang, Kaiyu Hang

专题命中工作流自动化：planning(abstract)；分类 cs.AI、cs.LG

Comments 2018 International Conference on Robotics and Automation

1808.05770 2018-08-20 cs.CR cs.AI cs.LG stat.ML 62%

Reinforcement Learning for Autonomous Defence in Software-Defined Networking

Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier De Vel, Sarah Erfani, David Hubczenko, Christopher Leckie, Paul Montague

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Comments 20 pages, 8 figures

1803.10227 2018-03-29 cs.LG cs.AI stat.ML 62%

Forward-Backward Reinforcement Learning

Ashley D. Edwards, Laura Downs, James C. Davidson

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

1409.8498 2018-01-22 cs.GT cs.AI cs.LG 62%

Non-myopic learning in repeated stochastic games

Jacob W. Crandall

专题命中工作流自动化：agent(abstract)；分类 cs.AI、cs.LG

Journal ref Robust Learning for Repeated Stochastic Games via Meta-Gaming, Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), pp. 3416-3422, 2015

1. 工作流自动化 10492 篇

Parameterized Exploration

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning

Recent Advances in Imitation Learning from Observation

Machine Learning Software Engineering in Practice: An Industrial Case Study

Curriculum Learning for Cumulative Return Maximization

Towards Interactive Training of Non-Player Characters in Video Games

Improving Natural Language Interaction with Robots Using Advice

Robust Federated Training via Collaborative Machine Teaching using Trusted Instances

Safety-Guided Deep Reinforcement Learning via Online Gaussian Process Estimation

Posterior-regularized REINFORCE for Instance Selection in Distant Supervision

Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with Minecraft

Automatic Classification of Pathology Reports using TF-IDF Features

On The Stability of Interpretable Models

Enhanced Quantum Synchronization via Quantum Machine Learning

Machine Learning Automation Toolbox (MLaut)

Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning

Bayesian Optimization in AlphaGo

Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization

Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior

Interpreting Models by Allowing to Ask

Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

Detecting and Explaining Drifts in Yearly Grant Applications

Term Set Expansion based NLP Architect by Intel AI Lab

Learning and Acting in Peripersonal Space: Moving, Reaching, and Grasping

Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration

Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning

Reinforcement Learning for Autonomous Defence in Software-Defined Networking

Forward-Backward Reinforcement Learning

Non-myopic learning in repeated stochastic games