| Creating pro-level AI for a real-time fighting game using deep reinforcement learning I Oh, S Rho, S Moon, S Son, H Lee, J Chung IEEE Transactions on Games, 2021 | 66 | 2021 |
| Data requirements for applying machine learning to energy disaggregation C Shin, S Rho, H Lee, W Rhee Energies 12 (9), 1696, 2019 | 61 | 2019 |
| LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward D Jo, S Kim, DW Nam, T Kwon, S Rho, J Kim, D Lee NeurIPS 2022, 2022 | 6 | 2022 |
| Effortless integration of memory management into open-domain conversation systems E Choi, KW On, G Han, S Kim, DW Nam, D Jo, SE Rho, T Kwon, M Seo arXiv preprint arXiv:2305.13973, 2023 | 2 | 2023 |
| Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition J Kiseleva, A Skrynnik, A Zholus, S Mohanty, N Arabzadeh, MA Côté, ... NeurIPS 2022 Competition Track, 204-216, 2023 | 1 | 2023 |
| Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation G Han, D Jo, D Nam, E Yoon, T Kwon, S Rho, KW On, C Yoo, S Kim Findings of the Association for Computational Linguistics: EMNLP 2023, 2683-2702, 2023 | | 2023 |
| Hexa: Self-Improving for Knowledge-Grounded Dialogue System D Jo, DW Nam, G Han, KW On, T Kwon, S Rho, S Kim arXiv preprint arXiv:2310.06404, 2023 | | 2023 |
Sang Bin MoonPh.D. student of Electrical and Computer Engineering, Purdue Universitypurdue.edu의 이메일 확인됨
