| Filter design for generalized frequency-division multiplexing S Han, Y Sung, YH Lee IEEE Transactions on Signal Processing 65 (7), 1644-1659, 2016 | 69 | 2016 |
| Diversity actor-critic: Sample-aware entropy regularization for sample-efficient exploration S Han, Y Sung International Conference on Machine Learning, 4018-4029, 2021 | 30 | 2021 |
| Dimension-wise importance sampling weight clipping for sample-efficient reinforcement learning S Han, Y Sung International Conference on Machine Learning, 2586-2595, 2019 | 27 | 2019 |
| A max-min entropy framework for reinforcement learning S Han, Y Sung Advances in Neural Information Processing Systems 34, 25732-25745, 2021 | 25 | 2021 |
| 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 | 19 | 2022 |
| A reinforcement learning formulation of the Lyapunov optimization: Application to edge computing systems with queue stability S Bae, S Han, Y Sung arXiv preprint arXiv:2012.07279, 2020 | 13 | 2020 |
| Amber: Adaptive multi-batch experience replay for continuous action control S Han, Y Sung IJCAI Workshop on Scaling Up Reinforcement Learning, 2017 | 9* | 2017 |
| FoX: Formation-aware exploration in multi-agent reinforcement learning Y Jo, S Lee, J Yeom, S Han Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 12985 …, 2024 | 8 | 2024 |
| Domain adaptive imitation learning with visual observation S Choi, S Han, W Kim, J Chae, W Jung, Y Sung Advances in Neural Information Processing Systems 36, 44067-44104, 2023 | 8* | 2023 |
| Exclusively penalized q-learning for offline reinforcement learning J Yeom, Y Jo, J Kim, S Lee, S Han Advances in Neural Information Processing Systems 37, 113405-113435, 2024 | 2 | 2024 |
| Adaptive multi-model fusion learning for sparse-reward reinforcement learning G Park, W Jung, S Han, S Choi, Y Sung Neurocomputing, 129748, 2025 | | 2025 |
| PRISM: A Robust Framework for Skill-based Meta-Reinforcement Learning with Noisy Demonstrations S Lee, S Bae, Y Park, S Han arXiv preprint arXiv:2502.03752, 2025 | | 2025 |
| Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations M Kim, K Lee, J Kim, S Choi, S Han arXiv preprint arXiv:2502.02867, 2025 | | 2025 |
| Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks J Kim, Y Park, M Kim, S Han arXiv preprint arXiv:2502.02834, 2025 | | 2025 |
| Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning S Lee, J Hwang, Y Jo, S Han arXiv preprint arXiv:2502.02844, 2025 | | 2025 |
| 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 |
| Novel entropy frameworks for sample-efficient exploration in off-policy reinforcement learning S Han 한국과학기술원, 2021 | | 2021 |
