| Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning K Son, D Kim, WJ Kang, DE Hostallero, Y Yi International Conference on Machine Learning, 5887-5896, 2019 | 483 | 2019 |
| Learning to Schedule Communication in Multi-agent Reinforcement Learning D Kim, S Moon, D Hostallero, WJ Kang, T Lee, K Son, Y Yi arXiv preprint arXiv:1902.01554, 2019 | 147 | 2019 |
| A Fog Operating System for User-Oriented IoT Services: Challenges and Research Directions N Choi, D Kim, SJ Lee, Y Yi IEEE Communications Magazine 55 (8), 44-51, 2017 | 56 | 2017 |
| Development of a “stick-and-detect” wireless sensor node for fatigue crack detection P Liu, HJ Lim, S Yang, H Sohn, CH Lee, Y Yi, D Kim, J Jung, I Bae Structural Health Monitoring 16 (2), 153-163, 2017 | 30 | 2017 |
| On the Economics of Fog Computing: Inter-play among Infrastructure and Service Providers, Users, and Edge Resource Owners D Kim, H Lee, H Song, N Choi, Y Yi 2018 IEEE International Conference on Communications (ICC), 1-6, 2018 | 20 | 2018 |
| Parameterized slot scheduling for adaptive and autonomous TSCH networks J Jung, D Kim, J Hong, J Kang, Y Yi IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops …, 2018 | 17 | 2018 |
| Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning DE Hostallero, D Kim, S Moon, K Son, WJ Kang, Y Yi Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 12 | 2020 |
| Symphony: Learning realistic and diverse agents for autonomous driving simulation M Igl, D Kim, A Kuefler, P Mougin, P Shah, K Shiarlis, D Anguelov, ... 2022 International Conference on Robotics and Automation (ICRA), 2445-2451, 2022 | 11 | 2022 |
| Bird-MAC: Energy-Efficient MAC for Quasi-Periodic IoT Applications by Avoiding Early Wake-up D Kim, J Jung, Y Koo, Y Yi IEEE Transactions on Mobile Computing 19 (4), 788-802, 2019 | 11 | 2019 |
| AI Based Drone Object Tracking System: Design and Implementation D Kim, WJ Kang, YP Koo, JH Bang, KH Son, D Hostallero, SE Yoon, ... The Journal of Korean Institute of Communications and Information Sciences …, 2017 | 8 | 2017 |
| Edge resource sharing N Choi, D Kim US Patent App. 10/382,558, 2019 | 7* | 2019 |
| Distributed Slot Scheduling for QoS Guarantee over TSCH-based IoT Networks via Adaptive Parameterization J Jung, D Kim, T Lee, J Kang, N Ahn, Y Yi 2020 19th ACM/IEEE International Conference on Information Processing in …, 2020 | 4 | 2020 |
| Revisiting Sensor MAC for Periodic Monitoring: Why Should Transmitters Be Early Birds? D Kim, J Jung, Y Koo, Y Yi 2017 14th Annual IEEE International Conference on Sensing, Communication …, 2017 | 4 | 2017 |
| Self-sufficient and self-contained sensing for local monitoring of in-situ bridge structures H Sohn, HJ Lim, JM Kim, S YANG, J LEE, Y KIM, P LIU, Y JANG, ... Proceedings of the 8th European Workshop on Structural Health Monitoring, 2016 | 2 | 2016 |
| Energy-Efficient Sensing Data Delivery for Low Power Environmental Sensors D Kim, J Jung, H Lee, Y Yi Smart Sensors for Health and Environment Monitoring, 281-306, 2015 | 2 | 2015 |
| On the delay scaling laws of cache networks B Jin, D Kim, SY Yun, J Shin, S Hong, BJBJ Lee, Y Yi Proceedings of the 12th International Conference on Future Internet …, 2017 | 1 | 2017 |
| Learning to factorize with transformation for cooperative multi-agent reinforcement learning WJKDE Hostallero, K Son, D Kim, YY Qtran Proceedings of the 31st International Conference on Machine Learning …, 2019 | | 2019 |
| Energy Consumption at UAVs: A Deep Learning Approach S Yoon, D Kim, Y Yi 한국정보과학회 학술발표논문집, 1668-1668, 2017 | | 2017 |
| Data Networking for Autonomous Fatigue Crack Detection J Jung, D Kim, H Lee, Y Yi Smart Sensors for Health and Environment Monitoring, 257-279, 2015 | | 2015 |
| Inducing Cooperation via Learning to reshape rewards in semi-cooperative multi-agent reinforcement learning DE Hostallero, D Kim, K Son, Y Yi | | |
Yung YiProfessor of Electrical Engineering, KAISTkaist.edu의 이메일 확인됨
