AutoDOViz: Human-Centered Automation for Decision Optimization

Author:

Weidele Daniel Karl I.1ORCID,Afzal Shazia2ORCID,Valente Abel N.3ORCID,Makuch Cole4ORCID,Cornec Owen1ORCID,Vu Long1ORCID,Subramanian Dharmashankar1ORCID,Geyer Werner1ORCID,Nair Rahul5ORCID,Vejsbjerg Inge5ORCID,Marinescu Radu5ORCID,Palmes Paulito5ORCID,Daly Elizabeth M.5ORCID,Franke Loraine6ORCID,Haehn Daniel6ORCID

Affiliation:

1. IBM Research, United States

2. IBM Research, India

3. IBM Research, Argentina

4. IBM Consulting, United States

5. IBM Research, Ireland

6. University of Massachusetts Boston, United States

Publisher

ACM

Reference63 articles.

1. Dan Amir and Ofra Amir . 2018 . Highlights: Summarizing agent behavior to people . In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems. 1168–1176 . Dan Amir and Ofra Amir. 2018. Highlights: Summarizing agent behavior to people. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems. 1168–1176.

2. Dynamic job-shop scheduling using reinforcement learning agents

3. Applications of agent-based models for optimization problems: A literature review

4. Andrew  G Barto , Satinder Singh , Nuttapong Chentanez , 2004 . Intrinsically motivated learning of hierarchical collections of skills . In Proceedings of the 3rd International Conference on Development and Learning . Piscataway, NJ, 112–19. Andrew G Barto, Satinder Singh, Nuttapong Chentanez, 2004. Intrinsically motivated learning of hierarchical collections of skills. In Proceedings of the 3rd International Conference on Development and Learning. Piscataway, NJ, 112–19.

5. Ekaba Bisong . 2019. Google AutoML: cloud vision . In Building Machine Learning and Deep Learning Models on Google Cloud Platform . Springer , 581–598. Ekaba Bisong. 2019. Google AutoML: cloud vision. In Building Machine Learning and Deep Learning Models on Google Cloud Platform. Springer, 581–598.

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