If you made any changes in Pure these will be visible here soon.

Personal profile

Research interests

I am interested in studying interaction dynamics among multiple entities in networked and non-networked environments, resource allocation and management in distributed environments, dialogical artificial intelligence, and studies on visual dialogues and visual art.

Education

Kyungpook National University, B.S Engineering (Computer Science Focus)

Wright State University, M.S. Computer Engineering

University of Pittsburgh, PhD Computer Science

Research Interests

  • Game Theory
  • Multi-agent Systems
  • Quantum Game Theory
  • Artificial Intelligence
  • Social Network Analysis
  • Realtime Systems
  • Swarm Robotics

Fingerprint Dive into the research topics where Jae C Oh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects

Research Output

Asynchronous multitask reinforcement learning with dropout for continuous control

Jiao, Z. & Oh, J., Dec 2019, Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019. Wani, M. A., Khoshgoftaar, T. M., Wang, D., Wang, H. & Seliya, N. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 529-534 6 p. 8999228. (Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2 Scopus citations

    Deep Reinforcement Learning for Fairness in Distributed Robotic Multi-type Resource Allocation

    Zhu, Q. & Oh, J. C., Jan 15 2019, Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018. Wani, M. A., Sayed-Mouchaweh, M., Lughofer, E., Gama, J. & Kantardzic, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 460-466 7 p. 8614100. (Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 1 Scopus citations

    End-to-end reinforcement learning for multi-agent continuous control

    Jiao, Z. & Oh, J., Dec 2019, Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019. Wani, M. A., Khoshgoftaar, T. M., Wang, D., Wang, H. & Seliya, N. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 535-540 6 p. 8999172. (Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2 Scopus citations

    Energy-conserving risk-aware data collection using ensemble navigation network

    Xing, Z. & Oh, J. C., Jan 1 2018, Recent Trends and Future Technology in Applied Intelligence - 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Proceedings. Springer Verlag, p. 613-625 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10868 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 1 Scopus citations

    Online learning for patrolling robots against active adversarial attackers

    Rahman, M. & Oh, J. C., Jan 1 2018, Recent Trends and Future Technology in Applied Intelligence - 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Proceedings. Springer Verlag, p. 477-488 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10868 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution