SLOW Lab

Reinforcement Learning

강화학습에 관한 다양한 문제에 대하여, 깊이있는 연구에 관심이 있는 학부생과 석/박사 대학원생을 모집하고 있습니다. 관심있으신 분은 주창희 교수님께 연락을 주시기 바랍니다. (이메일: changhee@korea.ac.kr , 연구실: 고려대학교 우정정보관 507B)

We are conducting high-quality research on reinforcement learning, with diverse problem domains of game playing, networking, stock trading, etc.

[2021.08] Two papers have been accepted for publication at Journal of Communications and Networks (SCIE, IF 3.240)

  • Daehyun Park, Sunjung Kang, and Changhee Joo*, "A Learning-based Distributed Algorithm for Scheduling in Multi-hop Wireless Networks," Journal of Communications and Networks, accepted for publication.

  • Sunjung Kang and Changhee Joo*, "Index-based Update Policy for Minimizing Information Mismatch with Markovian Sources," Journal of Communications and Networks, accepted for publication.

[2021.06] Our paper has been accepted for publication at IEEE Transactions on Network and Service Management (SCIE, IF 4.682, category top 8.39%)

  • Sravan Patchala, Seunghyun Lee, Changhee Joo*, and D. Manjunath*, "On the Economics of Network Interconnections and its Impact on Net Neutrality," IEEE Transactions on Network and Service Management (TNSM), accepted for publication.

[2021.01] Three papers (two for main conference and one for AoI workshop) have been accepted for presentation at the prestige conference IEEE INFOCOM

  • Jihyeon Yun, Atilla Eryilmaz, and Changhee Joo*, "Remote Tracking of Dynamic Sources under Sublinear Communication Costs," IEEE INFOCOM Age of Information Workshop, May 2021.

  • Sunjung Kang, Atilla Eryilmaz, and Changhee Joo, "Comparison of Decentralized and Centralized Update Paradigms for Remote Tracking of Distributed Dynamic Sources," IEEE INFOCOM, May 2021.

  • Wonbin Park, Dokyun Ryoo, Changhee Joo, and Saewoong Bahk, "BLESS: BLE-aided Swift Wi-Fi Scanning in Multi-protocol IoT Networks," IEEE INFOCOM, May 2021.