no code implementations • ICLR 2022 • Geon-Hyeong Kim, Seokin Seo, Jongmin Lee, Wonseok Jeon, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
We consider offline imitation learning (IL), which aims to mimic the expert's behavior from its demonstration without further interaction with the environment.
no code implementations • ICLR 2021 • Youngsoo Jang, Seokin Seo, Jongmin Lee, Kee-Eung Kim
Interactive Fiction (IF) games provide a useful testbed for language-based reinforcement learning agents, posing significant challenges of natural language understanding, commonsense reasoning, and non-myopic planning in the combinatorial search space.
no code implementations • NeurIPS 2018 • Wonseok Jeon, Seokin Seo, Kee-Eung Kim
Generative adversarial training for imitation learning has shown promising results on high-dimensional and continuous control tasks.