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Seungyul Han
Seungyul Han
Assistant Professor, Graduate School of AI, UNIST
Dirección de correo verificada de unist.ac.kr - Página principal
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Citado por
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Año
Filter design for generalized frequency-division multiplexing
S Han, Y Sung, YH Lee
IEEE Transactions on Signal Processing 65 (7), 1644-1659, 2016
632016
Diversity actor-critic: Sample-aware entropy regularization for sample-efficient exploration
S Han, Y Sung
International Conference on Machine Learning, 4018-4029, 2021
212021
Dimension-wise importance sampling weight clipping for sample-efficient reinforcement learning
S Han, Y Sung
International Conference on Machine Learning, 2586-2595, 2019
212019
A max-min entropy framework for reinforcement learning
S Han, Y Sung
Advances in Neural Information Processing Systems 34, 25732-25745, 2021
152021
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
142020
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
92022
Amber: Adaptive multi-batch experience replay for continuous action control
S Han, Y Sung
IJCAI Workshop on Scaling Up Reinforcement Learning, 2017
9*2017
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, 2024
3*2024
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
12024
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