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College of Engineering(공과대학)Kim Jaechul Graduate School of AI(김재철AI대학원)

AI-Conference Papers(학술대회논문)

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Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 577

1
Linear attention is (maybe) all you need (to understand Transformer optimization)

Ahn, Kwangjun; Cheng, Xiang; Song, Minhak; Yun, Chulhee; Jadbabaie, Ali; Sra, Suvrit, 12th International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations (ICLR), 2024-05-07

2
Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory

Song, Minhak; Yun, Chulhee, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-13

3
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning

Lee, Hojoon; Cho, Hanseul; Kim, Hyunseung; Gwak, Daehoon; Kim, Joonkee; Choo, Jaegul; Yun, Se-Young; et al, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-13

4
Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima

Si, Dongkuk; Yun, Chulhee, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-12

5
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint

Lee, Junghyun; Cho, Hanseul; Yun, Se-Young; Yun, Chulhee, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-12

6
Dynamic Control for On-Demand Interference-Managed WLAN Infrastructures

Kim, Seokhyun; Lee, Kimin; Yeonkeun Kim; Jinwoo Shin; Seungwon Shin; Song Chong, IEEE/ACM Transactions on Networking, IEEE Communications Society, 2020-02

7
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback

Wang, Xiaofei; Lee, Kimin; Kourosh Hakhamaneshi; Pieter Abbeel; Michael Laskin, 5th Conference on Robot Learning, CoRL 2021, ML Research Press, 2021-11

8
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings

Chen, Lili; Lee, Kimin; Aravind Srinivas; Pieter Abbeel, 35th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2021-12

9
URLB: Unsupervised Reinforcement Learning Benchmark

Laskin, Michael; Denis Yarats; Hao Liu; Lee, Kimin; Albert Zhan; Kevin Lu; Catherine Cang; et al, 35th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2021-12

10
B-Pref: Benchmarking Preference-Based Reinforcement Learning

Lee, Kimin; Laura Smith; Anca Dragan; Pieter Abbeel, 35th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2021-12

11
Decoupling Representation Learning from Reinforcement Learning

Stooke, Adam; Lee, Kimin; Pieter Abbeel; Michael Laskin, 38th International Conference on Machine Learning, ICML 2021, International Machine Learning Society (IMLS), 2021-07

12
SUNRISE: A Simple Unified Frameworkfor Ensemble Learning in Deep Reinforcement Learning

Lee, Kimin; Michael Laskin; Aravind Srinivas; Pieter Abbeel, 38th International Conference on Machine Learning, ICML 2021, International Machine Learning Society (IMLS), 2021-07

13
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

Lee, Kimin; Laura Smith; Pieter Abbeel, 38th International Conference on Machine Learning, ICML 2021, International Machine Learning Society (IMLS), 2021-07

14
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment

Carvalho, Wilka; Anthony Liang; Lee, Kimin; Sungryull Sohn; Honglak Lee; Richard L. Lewis; Satinder Singh, 30th International Joint Conference on Artificial Intelligence (IJCAI-21), International Joint Conference on Artificial Intelligence Organization, 2021-08

15
Decision Transformer: Reinforcement Learning via Sequence Modeling

Chen, Lili; Kevin Lu; Aravind Rajeswaran; Lee, Kimin; Aditya Grover; Misha Laskin; Pieter Abbeel; et al, 35th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2021-12

16
Reinforcement Learning with Augmented Data

Laskin, Misha; Lee, Kimin; Adam Stooke; Lerrel Pinto; Pieter Abbeel; Aravind Srinivas, 34th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2020-12-09

17
MAP inference for Bayesian inverse reinforcement learning

Choi, Jae-Deug; Kim, Kee-Eung, 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011, Neural Information Processing Systems Foundation, 2011-12

18
A POMDP-Based Optimal Control of P300-Based Brain-Computer Interfaces

Park, Jaeyoung; Kim, Kee-Eung; Song, Yoon-Kyu, 25th AAAI Conference on Artificial Intelligence, AAAI 2011, pp.1559 - 1562, Association for the Advancement of Artificial Intelligence (AAAI), 2011-08

19
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning

Park, Jongjin; Seo, Younggyo; Shin, Jinwoo; Lee, Honglak; Abbeel, Pieter; Lee, Kimin, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, 2022-04-26

20
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

Liang, Xinran; Shu, Katherine; Lee, Kimin; Abbeel, Pieter, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, 2022-04-27

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