Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning
Published in AAAI Conference on Artificial Intelligence, 2022
The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above “citation” field will automatically be included below this section in a smaller font.
Recommended citation: 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).
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Robust Imitation Learning against Variations in Environment Dynamics
Published in Proceedings of the 39 th International Conference on Machine Learning, 2022
The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above “citation” field will automatically be included below this section in a smaller font.
Recommended citation: 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.
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Domain Adaptive Imitation Learning with Visual Observation
Published in 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above “citation” field will automatically be included below this section in a smaller font.
Recommended citation: 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.
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Adaptive multi-model fusion learning for sparse-reward reinforcement learning
Published in Neurocomputing, 2025
The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above “citation” field will automatically be included below this section in a smaller font.
Recommended citation: Park, G., Jung, W., Han, S., Choi, S., & Sung, Y. (2025). Adaptive multi-model fusion learning for sparse-reward reinforcement learning. Neurocomputing, 633, 129748.
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