| Hierarchical programmatic reinforcement learning via learning to compose programs GT Liu, EP Hu, PJ Cheng, HY Lee, SH Sun International Conference on Machine Learning, 21672-21697, 2023 | 11 | 2023 |
| Addressing long-horizon tasks by integrating program synthesis and state machines YA Lin, CT Lee, GT Liu, PJ Cheng, SH Sun arXiv preprint arXiv:2311.15960, 2023 | 2 | 2023 |
| Improving generalization with cross-state behavior matching in deep reinforcement learning GT Liu, GY Lin, PJ Cheng Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | 1 | 2022 |
| Multi-Corner Timing Macro Modeling With Neural Collaborative Filtering From Recommendation Systems Perspective KKC Chang, GT Liu, CY Chiang, PY Lee, IHR Jiang IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024 | | 2024 |
| Sub-Resolution Assist Feature Generation with Reinforcement Learning and Transfer Learning GT Liu, WC Tai, YT Lin, IHR Jiang, JP Shiely, PJ Cheng Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | | 2022 |
