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Jinwoo Shin — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jinwoo Shin
43
papers ·
441
citations ·
39
h-index
Korea Advanced Institute of Science and Technology · Kootenay Association for Science & Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
2019 · 47 citations
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
2020 · 28 citations
State Entropy Maximization with Random Encoders for Efficient Exploration
2021 · 22 citations
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
2021 · 19 citations
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
2021 · 18 citations
QTRAN++: Improved Value Transformation for Cooperative Multi-Agent Reinforcement Learning
2020 · 17 citations
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
2020 · 14 citations
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning
2022 · 14 citations
Learning to Sample with Local and Global Contexts in Experience Replay Buffer
2020 · 6 citations
Learning What to Defer for Maximum Independent Sets
2020 · 5 citations
Preference Transformer: Modeling Human Preferences using Transformers for RL
2023 · 4 citations
Imitating Graph-Based Planning with Goal-Conditioned Policies
2023 · 2 citations
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration
2023 · 1 citations
Model-Augmented Q-learning
2021
Top co-authors
Younggyo Seo
· 9
Kimin Lee
· 8
Pieter Abbeel
· 6
Honglak Lee
· 5
Eunho Yang
· 2
Jongjin Park
· 2
Kyunghwan Son
· 2
Seunghyun Lee
· 2
Youngmin Oh
· 2
and Sung Ju Hwang
· 1
Changyeon Kim
· 1
Dongyoung Kim
· 1
Topics
Exploration
Model-Based RL
Value-Based
Meta-RL
Game AI
Offline RL
RLHF & Alignment
Safe RL
Multi-Agent
Policy Gradient