Lee, Jae Hee

13 publications

TMLR 2025 Mental Modelling of Reinforcement Learning Agents by Language Models Wenhao Lu, Xufeng Zhao, Josua Spisak, Jae Hee Lee, Stefan Wermter

CLeaR 2024 Causal State Distillation for Explainable Reinforcement Learning Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter

ECCVW 2024 Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? Jae Hee Lee, Georgii Mikriukov, Gesina Schwalbe, Stefan Wermter, Diedrich Wolter

TMLR 2024 Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models Kyra Ahrens, Hans Hergen Lehmann, Jae Hee Lee, Stefan Wermter

ICML 2023 Internally Rewarded Reinforcement Learning Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter

IJCAI 2022 What Is Right for Me Is Not yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter

IJCAI 2020 Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla P. Gomes

AAAI 2018 Multiagent Simple Temporal Problem: The Arc-Consistency Approach Shufeng Kong, Jae Hee Lee, Sanjiang Li

IJCAI 2016 Connecting Qualitative Spatial and Temporal Representations by Propositional Closure Diedrich Wolter, Jae Hee Lee

IJCAI 2016 Trend-Based Prediction of Spatial Change Xiaoyu Ge, Jae Hee Lee, Jochen Renz, Peng Zhang

IJCAI 2015 From Raw Sensor Data to Detailed Spatial Knowledge Peng Zhang, Jae Hee Lee, Jochen Renz

IJCAI 2015 Qualitative Reasoning About Directions in Semantic Spaces Steven Schockaert, Jae Hee Lee

IJCAI 2013 StarVars - Effective Reasoning About Relative Directions Jae Hee Lee, Jochen Renz, Diedrich Wolter