Junhyuk Oh
20 papers · 2015–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (10)
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Renaissance Researcher
(5)
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Cross-Pollinator
(13)
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Conference Polyglot
(5)
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Keyword Trendsetter Combo
(3)
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Topic Evolution
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Century Club
(20)
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Unstoppable
(9)
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Keyword Collector
(76)
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The Questioner
Conferences
NIPS (10)
ICLR (4)
ICML (4)
AAAI (1)
CVPR (1)
Top co-authors
Research topics
Keywords
policy gradient
(3)
deep reinforcement learning
(3)
reinforcement learning
(3)
neural network
(2)
hierarchical reinforcement learning
(2)
auxiliary task
(2)
intrinsic reward
(2)
model-based reinforcement learning
(1)
value function
(1)
transfer learning
(1)
active perception
(1)
exploration exploitation
(1)
online learning
(1)
weakly-supervised learning
(1)
off-policy learning
(1)
policy learning
(1)
temporal-difference learning
(1)
partial observability
(1)
reward design
(1)
reward function
(1)
Papers
Learning from negative feedback, or positive feedback or both
ICLR 2025
In-context Reinforcement Learning with Algorithm Distillation
ICLR 2023
Deep Reinforcement Learning with Plasticity Injection
NIPS 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
NIPS 2021
What Can Learned Intrinsic Rewards Capture?
ICML 2020
Discovering Reinforcement Learning Algorithms
NIPS 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
NIPS 2020
A Self-Tuning Actor-Critic Algorithm
NIPS 2020
Discovery of Useful Questions as Auxiliary Tasks
NIPS 2019
Contingency-Aware Exploration in Reinforcement Learning
ICLR 2019
Self-Imitation Learning
ICML 2018
On Learning Intrinsic Rewards for Policy Gradient Methods
NIPS 2018
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies
NIPS 2018
Value Prediction Network
NIPS 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
ICML 2017
Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network
CVPR 2016
Control of Memory, Active Perception, and Action in Minecraft
ICML 2016
Action-Conditional Video Prediction using Deep Networks in Atari Games
NIPS 2015