Browse "College of Engineering(공과대학)" by Author Pieter Abbeel

Showing results 1 to 10 of 10

1
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

2
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

3
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

4
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

Fan, Ying; Olivia Watkins; Yuqing Du; Hao Liu; Moonkyung Ryu; Craig Boutilier; Pieter Abbeel; et al, 37th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2023-12

5
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

6
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

7
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

8
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

9
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

10
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

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