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H. Jin Kim

11 papers · 2018–2026 · 6 venues · across top CS/AI venues

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Achievements

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (23) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown πŸš€ Conference Pioneer ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (62)

Venues

NeurIPS (4) ICML (3) CVPR (1) ECCV (1) ICLR (1) L4DC (1)

Top co-authors

Seungjae Lee (6) Daesol Cho (5) Pyojin Kim (2) Brian Coltin (2) Jigang Kim (2) Dongseok Shim (2) Yibin Wang (1) Inkyu Jang (1) Lerrel Pinto (1) Nur Muhammad Mahi Shafiullah (1)

Research topics

Reinforcement Learning (7) Applications (5) Methods (5) Artificial Intelligence (4) Core AI (4) Computer Vision (3) Deep Learning (3) Machine Learning (2) Analysis (2) Learning Types (2) Robotics (1) Application Areas (1) Architectures (1) Domain-Specific (1) Learning Paradigms (1)

Keywords

model-based reinforcement learning (2) curriculum reinforcement learning (2) reinforcement learning (2) curriculum learning (2) robotic manipulation (1) semantic representation (1) sample efficiency (1) bipartite matching (1) image generation (1) image synthesis (1) conditional generation (1) 3d scene understanding (1) data augmentation (1) implicit representation (1) hierarchical reinforcement learning (1) optimal transport (1) quadratic programming (1) temporal abstraction (1) neural radiance field (1) offline reinforcement learning (1)

Papers

Deep QP Safety Filter: Model-free Learning for Reachability-based Safety Filter L4DC 2026 Behavior Generation with Latent Actions ICML 2024 CQM: Curriculum Reinforcement Learning with a Quantized World Model NeurIPS 2023 Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum ICML 2023 Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement NeurIPS 2023 Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation ICLR 2023 SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning ICML 2023 DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning NeurIPS 2022 S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning NeurIPS 2022 Indoor RGB-D Compass From a Single Line and Plane CVPR 2018 Linear RGB-D SLAM for Planar Environments ECCV 2018