Search Results for author: Seokin Seo

Found 3 papers, 0 papers with code

DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations

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.

Imitation Learning

Monte-Carlo Planning and Learning with Language Action Value Estimates

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.

Natural Language Understanding reinforcement-learning +1

A Bayesian Approach to Generative Adversarial Imitation Learning

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.

Continuous Control Imitation Learning

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