Message-dropout: An efficient training method for multi-agent deep reinforcement learning W Kim, M Cho, Y Sung Proceedings of the AAAI conference on artificial intelligence 33 (01), 6079-6086, 2019 | 61 | 2019 |
A maximum mutual information framework for multi-agent reinforcement learning W Kim, W Jung, M Cho, Y Sung arXiv preprint arXiv:2006.02732, 2020 | 18 | 2020 |
Robust imitation learning against variations in environment dynamics J Chae, S Han, W Jung, M Cho, S Choi, Y Sung International Conference on Machine Learning, 2828-2852, 2022 | 12 | 2022 |
Multi-task reinforcement learning with task representation method M Cho, W Jung, Y Sung ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 2022 | 7 | 2022 |
Ph. D. student Y Sung, J Seo, J So, J Chung, S Bae, S Han, W Jung, W Kim, H Noh, ... PHD, 2015 | 7 | 2015 |
A variational approach to mutual information-based coordination for multi-agent reinforcement learning W Kim, W Jung, M Cho, Y Sung arXiv preprint arXiv:2303.00451, 2023 | 6 | 2023 |
Quantile constrained reinforcement learning: A reinforcement learning framework constraining outage probability W Jung, M Cho, J Park, Y Sung Advances in Neural Information Processing Systems 35, 6437-6449, 2022 | 5 | 2022 |
Parameterizing non-parametric meta-reinforcement learning tasks via subtask decomposition S Lee, M Cho, Y Sung Advances in Neural Information Processing Systems 36, 43356-43383, 2023 | 1 | 2023 |
5G NSA 를 위한 링크 레벨 시뮬레이터 박기승, 박상우, 서준영, 소정호, 왕우완, 유승민, 임승찬, 정지훈, ... 제 28 회 통신정보합동학술대회, 2018 | 1 | 2018 |
5G NR 을 위한 모듈화 링크 레벨 시뮬레이터 설계 박기승, 박상우, 서준영, 소정호, 왕우완, 유승민, 임승찬, 정지훈, ... 한국통신학회 학술대회논문집, 352-353, 2018 | 1 | 2018 |
5G K-SimLink: 5G NSA 를 위한 개방형 모듈화 링크레벨 시뮬레이터 개발 정지훈, 박상우, 왕우완, 박기승, 유승민, 임승찬, 조명식, 하대한, ... The Journal of Korean Institute of Communications and Information Sciences 3 …, 2019 | | 2019 |
5G 링크 레벨 시뮬레이터의 구현 박기승, 박상우, 서준영, 소정호, 왕우완, 유승민, 임승찬, 정지훈, ... 한국통신학회 학술대회논문집, 325-326, 2018 | | 2018 |
EMPO: A Clustering-Based On-Policy Algorithm for Offline Reinforcement Learing J Park, M Cho, Y Sung ICML 2024 Workshop: Aligning Reinforcement Learning Experimentalists and …, 0 | | |
Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling M Cho, J Park, S Lee, Y Sung Forty-first International Conference on Machine Learning, 0 | | |