Geon-Hyeong Kim (김건형)

Email: ghkim@lgresearch.ai / geonhyeong.kim01@gmail.com

Research Interest: Imitation Learning, Reinforcement Learning, Machine Learning

Experience

2022. 07. - Current. AI Scientist at Advanced ML Lab, LG AI Research

Education

2015. 03. - 2022. 08. PhD, School of Computing, KAIST, Korea (Advisor: Kee-Eung Kim, Hongseok Yang)

2013. 03. - 2015. 02. MS, Mathematical Sciences, KAIST, Korea (Advisor: Chang-Ock Lee)

2009. 02. - 2013. 02. BS, Mathematical Sciences, KAIST, Korea (Minor in School of Computing)

Publications

International

[W2] Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking

[C10] SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations

[C9] Information-Theoretic State Space Model for Multi-View Reinforcement Learning

[C8] LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation

[C7] DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations

[C6] Multi-View Representation Learning via Total Correlation Objective

[C5] Variational Interaction Information Maximization for Cross-domain Disentanglement

[C4] Variational Inference for Sequential Data with Future Likelihood Estimates

[C3] Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients

[C2] Trust Region Sequential Variational Inference

[C1] Monte-Carlo Tree Search for Constrained POMDPs

[W1] Monte-Carlo Tree Search for Constrained MDPs

[J1] Bayesian optimistic Kullback–Leibler exploration

Academic Talks

LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation

DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations

Variational Inference for Sequential Data with Future Likelihood Estimates

Trust Region Sequential Variational Inference

Reviewer

Teaching Experience