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Honglak Lee — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Honglak Lee
61
papers ·
4814
citations ·
85
h-index
University of Michigan
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning Latent Dynamics for Planning from Pixels
2018 · 368 citations
Data-Efficient Hierarchical Reinforcement Learning
2018 · 265 citations
Control of Memory, Active Perception, and Action in Minecraft
2016 · 172 citations
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
2017 · 114 citations
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
2018 · 97 citations
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
2018 · 63 citations
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
2019 · 51 citations
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
2019 · 47 citations
Value Prediction Network
2017 · 42 citations
Generative Adversarial Self-Imitation Learning
2018 · 42 citations
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies
2018 · 30 citations
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games
2016 · 29 citations
Contingency-Aware Exploration in Reinforcement Learning
2018 · 28 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
Top co-authors
Jongwook Choi
· 8
Junhyuk Oh
· 6
Sungryull Sohn
· 6
Jinwoo Shin
· 5
Kimin Lee
· 5
Sergey Levine
· 5
Aleksandra Faust
· 4
Yijie Guo
· 4
Izzeddin Gur
· 3
Ofir Nachum
· 3
Pieter Abbeel
· 3
Satinder Singh
· 3
Topics
Exploration
Model-Based RL
Meta-RL
Value-Based
Game AI
Policy Gradient
RLHF & Alignment
Offline RL
Safe RL
Multi-Agent