Adaptive multi-model fusion learning for sparse-reward reinforcement learning
Park, G., Jung, W., Han, S., Choi, S., & Sung, Y. (2025). Adaptive multi-model fusion learning for sparse-reward reinforcement learning. Neurocomputing, 633, 129748.
CV
Education
- Ph.D in EE, KAIST, Republic of Korea, 2027 (expected)
- M.S. in EE, KAIST, Republic of Korea, 2020
- B.S. in EE, KAIST, Republic of Korea, 2018
Publications
Domain Adaptive Imitation Learning with Visual Observation
Choi, S., Han, S., Kim, W., Chae, J., Jung, W., & Sung, Y. (2023). Domain adaptive imitation learning with visual observation. Advances in Neural Information Processing Systems, 36, 44067-44104.
Robust Imitation Learning against Variations in Environment Dynamics
Chae, J., Han, S., Jung, W., Cho, M., Choi, S., & Sung, Y. (2022, July). Robust imitation learning against variations in environment dynamics. In International Conference on Machine Learning (pp. 2828-2852). PMLR.
Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning
Park, G., Choi, S., & Sung, Y. (2022, Feb). Blockwise sequential model learning for partially observable reinforcement learning. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 7, pp. 7941-7948).