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Junhyuk Oh

20 papers · 2015–2025 · 5 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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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (29) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ† Grand Slam 🌟 Keyword Trendsetter Combo (5) 🧭 Keyword Pioneer πŸ”¬ Deep Specialist (10) πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (96) πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze ❓ The Questioner

Venues

NeurIPS (10) ICLR (4) ICML (4) AAAI (1) CVPR (1)

Top co-authors

Honglak Lee (8) Satinder Singh (8) Zhongwen Xu (7) David Silver (6) Matteo Hessel (6) Hado P van Hasselt (5) Satinder P. Singh (4) Vivek Veeriah (3) Tom Zahavy (3) Hado van Hasselt (2)

Research topics

Reinforcement Learning (16) Methods (15) Machine Learning (13) Artificial Intelligence (11) Learning Types (9) Core AI (8) Learning Paradigms Β· Artificial Intelligence (7) Applications (5) Learning Paradigms Β· Machine Learning (5) Deep Learning (3) Computer Vision (2) Architectures (2) Optimization & Theory (2) Analysis (1) Core Methods (1)

Keywords

reinforcement learning (6) deep reinforcement learning (3) policy gradient (3) neural network (2) intrinsic reward (2) auxiliary task (2) hierarchical reinforcement learning (2) transfer learning (1) weakly supervised learning (1) online learning (1) self-supervised learning (1) in-context learning (1) preference optimization (1) expectation maximization (1) sequential decision making (1) temporal difference learning (1) value function (1) active perception (1) exploration exploitation (1) policy learning (1)

Papers

Learning from negative feedback, or positive feedback or both ICLR 2025 Deep Reinforcement Learning with Plasticity Injection NeurIPS 2023 In-context Reinforcement Learning with Algorithm Distillation ICLR 2023 Introducing Symmetries to Black Box Meta Reinforcement Learning AAAI 2022 Balancing Constraints and Rewards with Meta-Gradient D4PG ICLR 2021 Discovery of Options via Meta-Learned Subgoals NeurIPS 2021 A Self-Tuning Actor-Critic Algorithm NeurIPS 2020 Discovering Reinforcement Learning Algorithms NeurIPS 2020 Meta-Gradient Reinforcement Learning with an Objective Discovered Online NeurIPS 2020 What Can Learned Intrinsic Rewards Capture? ICML 2020 Contingency-Aware Exploration in Reinforcement Learning ICLR 2019 Discovery of Useful Questions as Auxiliary Tasks NeurIPS 2019 Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies NeurIPS 2018 On Learning Intrinsic Rewards for Policy Gradient Methods NeurIPS 2018 Self-Imitation Learning ICML 2018 Value Prediction Network NeurIPS 2017 Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning ICML 2017 Control of Memory, Active Perception, and Action in Minecraft ICML 2016 Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network CVPR 2016 Action-Conditional Video Prediction using Deep Networks in Atari Games NeurIPS 2015