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Wonseok Jeon

12 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

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (32) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🧬 Topic Evolution πŸ“ˆ Trend Setter 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (67)

Venues

NeurIPS (4) ICLR (3) AAAI (1) ACML (1) CVPR (1) ICCV (1) ICML (1)

Top co-authors

Kee-eung Kim (6) Jongmin Lee (5) Joelle Pineau (3) Geon-hyeong Kim (3) Harris Teague (2) Piero Zappi (2) Mukul Gagrani (2) Paul Barde (2) Derek Nowrouzezahrai (2) Seokin Seo (2)

Research topics

Machine Learning (11) Learning Types (7) Artificial Intelligence (6) Reinforcement Learning (6) Methods (6) Core AI (5) Optimization & Theory (4) Deep Learning (3) Application Areas (3) Core Methods (2) Models (2) Computer Vision (1) Mathematics & Optimization (1) Robotics (1) Applications (1)

Keywords

reinforcement learning (4) imitation learning (3) policy optimization (2) bayesian inference (2) stationary distribution (2) off-policy evaluation (1) maximum entropy (1) adversarial learning (1) robotic manipulation (1) policy learning (1) metric learning (1) variational inference (1) convex optimization (1) autonomous driving (1) attention mechanism (1) gradient-based optimization (1) offline reinforcement learning (1) trajectory prediction (1) sample efficiency (1) motion planning (1)

Papers

WOD-E2E: Waymo Open Dataset for End-to-End Driving in Challenging Long-tail Scenarios CVPR 2026 Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control ICCV 2025 Neural DAG Scheduling via One-Shot Priority Sampling ICLR 2023 DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations ICLR 2022 Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions NeurIPS 2022 Neural Topological Ordering for Computation Graphs NeurIPS 2022 OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021 Regularized Inverse Reinforcement Learning ICLR 2021 Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization NeurIPS 2020 Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients AAAI 2020 Trust Region Sequential Variational Inference ACML 2019 A Bayesian Approach to Generative Adversarial Imitation Learning NeurIPS 2018