AI Agent

Workload Prediction of Business Processes -- An Approach Based on Process Mining and Recurrent Neural Networks

Fabrizio Albertetti, Hatem Ghorbel

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

A Road Map to Strong Intelligence

Philip Paquette

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

I Feel I Feel You: A Theory of Mind Experiment in Games

David Melhart, Georgios N. Yannakakis, Antonios Liapis

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

Comments Accepted manuscript for the KI-Kunstliche Intelligenz special issue on Artificial Intelligence in Games

Plato Dialogue System: A Flexible Conversational AI Research Platform

Alexandros Papangelis, Mahdi Namazifar, Chandra Khatri, Yi-Chia Wang, Piero Molino, Gokhan Tur

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

From Natural Language Instructions to Complex Processes: Issues in Chaining Trigger Action Rules

Nobuhiro Ito, Yuya Suzuki, Akiko Aizawa

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

Contrastive Learning of Structured World Models

Thomas Kipf, Elise van der Pol, Max Welling

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

Comments ICLR 2020

Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks

Siddhartha Nuthakki, Sunil Neela, Judy W. Gichoya, Saptarshi Purkayastha

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

Comments This is a shortened version of the Capstone Project that was accepted by the Faculty of Indiana University, in partial fulfillment of the requirements for the degree of Master of Science in Health Informatics in Dec 2018

Observational Overfitting in Reinforcement Learning

Xingyou Song, Yiding Jiang, Stephen Tu, Yilun Du, Behnam Neyshabur

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

Comments Published as a conference paper in ICLR 2020

Large-scale text processing pipeline with Apache Spark

Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito

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

Journal ref Published in Proceedings of Big NLP workshop at the IEEE Big Data Conference 2016

Towards FAIR protocols and workflows: The OpenPREDICT case study

Remzi Celebi, Joao Rebelo Moreira, Ahmed A. Hassan, Sandeep Ayyar, Lars Ridder, Tobias Kuhn, Michel Dumontier

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

Comments Preprint. Submitted to PeerJ on 13th November 2019. 3 appendixes as PDF files

Towards Safety Verification of Direct Perception Neural Networks

Chih-Hong Cheng, Chung-Hao Huang, Thomas Brunner, Vahid Hashemi

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

Comments Revised text (2nd version). The research work is conducted during the first author's service at the fortiss research institute and is supported by the following projects: "Audi Verifiable AI" from Audi AG, Germany and "Dependable AI for automotive systems" from DENSO Corporation, Japan

Experience Sharing Between Cooperative Reinforcement Learning Agents

Lucas Oliveira Souza, Gabriel de Oliveira Ramos, Celia Ghedini Ralha

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

Comments Published at the Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence

Gradient based sample selection for online continual learning

Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio

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

Comments Neurips 2019

Reinforcement Learning under Threats

Victor Gallego, Roi Naveiro, David Rios Insua

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

Comments Extends the verson published at the Proceedings of the AAAI Conference on Artificial Intelligence 33, https://www.aaai.org/ojs/index.php/AAAI/article/view/5106

explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning

Thilo Spinner, Udo Schlegel, Hanna Schäfer, Mennatallah El-Assady

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

Comments 9 pages paper, 2 pages references, 5 pages supplementary material (ancillary files)

Journal ref IEEE Transactions on Visualization and Computer Graphics (2019)

CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem

Arpan Kusari

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

KBSET -- Knowledge-Based Support for Scholarly Editing and Text Processing

Jana Kittelmann, Christoph Wernhard

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

Comments Part of DECLARE 19 proceedings

Learning-Based Video Game Development in MLP@UoM: An Overview

Ke Chen

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

Comments 8 pages, 15 figures Invited paper presented as a keynote speech, ICEEIE'19 in Bali, Indonesia

Dialogue Act Classification in Group Chats with DAG-LSTMs

Ozan İrsoy, Rakesh Gosangi, Haimin Zhang, Mu-Hsin Wei, Peter Lund, Duccio Pappadopulo, Brendan Fahy, Neophytos Nephytou, Camilo Ortiz

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

Comments Appeared in SIGIR 2019 Workshop on Conversational Interaction Systems

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

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

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)

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

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

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

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)

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

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

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

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