Geon-hyeong Kim
14 papers · 2018–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π§¬
Topic Evolution
ποΈ
Keyword Collector
(77)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Learning Types
(8)
Artificial Intelligence
(7)
Reinforcement Learning
(7)
Core AI
(6)
Methods
(6)
Optimization & Theory
(6)
Deep Learning
(5)
Core Methods
(3)
Models
(3)
Application Areas
(2)
Applications
(2)
Bayesian & Probabilistic
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Keywords
reinforcement learning
(4)
variational inference
(3)
stationary distribution
(3)
latent representation
(2)
monte carlo tree search
(2)
policy learning
(2)
policy optimization
(2)
divergence minimization
(1)
imitation learning
(1)
representation learning
(1)
gradient-based optimization
(1)
in-context learning
(1)
preference optimization
(1)
bayesian inference
(1)
convex optimization
(1)
offline reinforcement learning
(1)
partially observable markov decision process
(1)
value function
(1)
variance reduction
(1)
mutual information
(1)
Papers
IRPO: Implicit Policy Regularized Preference Optimization
EACL 2026
Online Pre-Training for Offline-to-Online Reinforcement Learning
ICML 2025
Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration
ICML 2024
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking
EMNLP 2024
Information-Theoretic State Space Model for Multi-View Reinforcement Learning
ICML 2023
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations
NeurIPS 2023
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations
ICLR 2022
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation
NeurIPS 2022
Multi-View Representation Learning via Total Correlation Objective
NeurIPS 2021
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients
AAAI 2020
Variational Inference for Sequential Data with Future Likelihood Estimates
ICML 2020
Variational Interaction Information Maximization for Cross-domain Disentanglement
NeurIPS 2020
Trust Region Sequential Variational Inference
ACML 2019
Monte-Carlo Tree Search for Constrained POMDPs
NeurIPS 2018