Skip to main content
Lab directory

AI and Machine Learning Lab

AI and Machine Learning Lab

Recruiting grad students

KAIST · Graduate School of AI

Information sourcenot verified yet

This lab is recruiting graduate students

석사/박사 과정 학생 및 박사후연구원 등 의욕적인 연구자를 모집 중 (We are seeking highly motivated student researchers - MS/PhD program students or post docs).

Check the professor and homepage links below for how to reach out.

Ask current students about this lab

Post your question to the Career board — students who have verified their school can answer under blind identities.

Professor

Prof. 김기응

Professor's page · publications

About

인공지능과 확률적 추론(AIPR) 연구실로, 의사결정 문제의 모델과 알고리즘을 연구한다. 대규모 MDP/POMDP, 오프라인 강화학습, 모방학습, 멀티에이전트 강화학습을 다루며 최근에는 대규모 언어모델 정렬(alignment), 기계론적 해석가능성, 확산모델, 텍스트 생성을 위한 강화학습으로 연구를 확장하고 있다.

Research keywords

Artificial IntelligenceMachine LearningReinforcement Learning

Selected publications

  • Concept Removal Guidance: Evidence-Calibrated Negative Guidance for Safe Diffusion SamplingICML (Spotlight) · 2026
  • PS-PPO: Prefix-Sampling PPO for Critic-Free RLHFICML · 2026
  • Group-Normalized Implicit Value Optimization for Language ModelsICLR · 2026
  • ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement LearningReinforcement Learning Conference (RLC) · 2026
  • DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy OptimizationNeurIPS · 2025
  • Goal-Conditioned DPO: Prioritizing Safety in Misaligned InstructionsNAACL · 2025
  • Monet: Mixture of Monosemantic Experts for TransformersICLR · 2025

Other labs in this department

See all labs in this department