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to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
Seunghyun Lee*, Younggyo Seo*, Kimin Lee, Pieter Abbeel, Jinwoo Shin
Conference on Robot Learning (CoRL) 2021, 2021
32
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee*, Laura Smith*, Pieter Abbeel
International Conference on Machine Learning (ICML) 2021, 2021
33
State Entropy Maximization with Random Encoders for Efficient Exploration
Younggyo Seo*, Lili Chen*, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
International Conference on Machine Learning (ICML) 2021, 2021
34
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel
International Conference on Machine Learning (ICML) 2021, 2021
35
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin
International Conference on Machine Learning (ICML) 2021, 2021
36
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environments
Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L Lewis, Satinder Singh
International Joint Conference on Artificial Intelligence (IJCAI) 2021, 2021
37
Learning to Sample with Local and Global Contexts in Experience Replay Buffer
Youngmin Oh, Kimin L
International Conference on Machine Learning (ICML) 2021,
38
shop on Deep RL 2020
NeurIPS Workshop on Deep RL 2020, 2020
39
MASKER: Masked Keyword Regularization for Reliable Text Classification
Seung Jun Moon*, Sangwoo Mo*, Kimin Lee, Jaeho Lee, Jinwoo Shin
NeurIPS Workshop on Deep RL 2020,
40
Reinforcement Learning with Augmented Data
Michael Laskin*, Kimin Lee*, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas
NeurIPS, 2020
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