| Communication in multi-agent reinforcement learning: Intention sharing W Kim, J Park, Y Sung International Conference on Learning Representations (ICLR) 2021, 2021 | 108 | 2021 |
| 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, 6079-6086, 2019 | 67 | 2019 |
| Enabling technologies for AI empowered 6G massive radio access networks M Shahjalal, W Kim, W Khalid, S Moon, M Khan, SZ Liu, S Lim, E Kim, ... ICT Express 9 (3), 341-355, 2023 | 54 | 2023 |
| Maser: Multi-agent reinforcement learning with subgoals generated from experience replay buffer J Jeon, W Kim, W Jung, Y Sung International Conference on Machine Learning, 10041-10052, 2022 | 44 | 2022 |
| 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 |
| Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making J Kim, S Lee, W Kim, Y Sung International Conference on Learning Representations (ICLR) 2024, 2024 | 14 | 2024 |
| An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning W Kim, Y Sung International Conference on Machine Learning (ICML) 2023, 2023 | 8 | 2023 |
| Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning W Kim, Y Sung International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2023 | 7 | 2023 |
| ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition S Li, S Bhagat, J Campbell, Y Xie, W Kim, K Sycara, S Stepputtis arXiv preprint arXiv:2403.18062, 2024 | 6 | 2024 |
| Domain Adaptive Imitation Learning with Visual Observation S Choi, S Han, W Kim, J Chae, W Jung, Y Sung Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023 | 6* | 2023 |
| LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework W Kim, J Kim, Y Sung International Conference on Machine Learning (ICML) 2023, 2023 | 6 | 2023 |
| A variational approach to mutual information-based coordination for multi-agent reinforcement learning W Kim, W Jung, M Cho, Y Sung International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2023 | 6 | 2023 |
| Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents W Kim, Y Shin, J Park, Y Sung Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023 | 5 | 2023 |
| Performance of Large Language Models on the Korean Dental Licensing Examination: A Comparative Study W Kim, BC Kim, HG Yeom International Dental Journal, 2024 | 1 | 2024 |
| OffRIPP: Offline RL-based Informative Path Planning SB Gadipudi, S Deolasee, S Kailas, W Luo, K Sycara, W Kim arXiv preprint arXiv:2409.16830, 2024 | 1 | 2024 |
| Adaptive -Aid for Conditional Supervised Learning in Offline Reinforcement Learning J Kim, S Lee, W Kim, Y Sung The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 1* | 2024 |
| HiMemFormer: Hierarchical Memory-Aware Transformer for Multi-Agent Action Anticipation Z Wang, X Zhao, S Stepputtis, W Kim, T Wu, K Sycara, Y Xie arXiv preprint arXiv:2411.01455, 2024 | | 2024 |
| DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning S Deolasee, S Kailas, W Luo, K Sycara, W Kim arXiv preprint arXiv:2410.17186, 2024 | | 2024 |
| Escaping Local Minima: Hybrid Artificial Potential Field with Wall-Follower for Decentralized Multi-Robot Navigation J Kim, S Park, W Lee, W Kim, N Doh, C Nam arXiv preprint arXiv:2409.10332, 2024 | | 2024 |
| Off-Policy Multi-Agent Policy Optimization with Multi-Step Counterfactual Advantage Estimation S Kim, W Kim, J Jeon, Y Sung, S Han The 22nd International Conference on Autonomous Agents and Multiagent …, 2023 | | 2023 |
Youngchul SungProfessor, Electrical Engineering, KAISTee.kaist.ac.kr의 이메일 확인됨
