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B-Pref: Benchmarking Preference-Based Reinforcement Learning


Nov 04, 2021
Kimin Lee , Laura Smith , Anca Dragan , Pieter Abbeel

* NeurIPS Datasets and Benchmarks Track 2021. Code is available at https://github.com/rll-research/B-Pref 

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Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World


Oct 11, 2021
Laura Smith , J. Chase Kew , Xue Bin Peng , Sehoon Ha , Jie Tan , Sergey Levine

* Project website: https://sites.google.com/berkeley.edu/fine-tuning-locomotion 

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Offline Meta-Reinforcement Learning with Online Self-Supervision


Jul 19, 2021
Vitchyr H. Pong , Ashvin Nair , Laura Smith , Catherine Huang , Sergey Levine

* 10 pages, 6 figures 

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


Jun 09, 2021
Kimin Lee , Laura Smith , Pieter Abbeel

* ICML 2021. First two authors contributed equally. Website: https://sites.google.com/view/icml21pebble Code: https://github.com/pokaxpoka/B_Pref 

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AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos


Dec 10, 2019
Laura Smith , Nikita Dhawan , Marvin Zhang , Pieter Abbeel , Sergey Levine

* Under review at the International Conference on Robotics and Automation (ICRA), 2020 

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SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning


Feb 20, 2019
Marvin Zhang , Sharad Vikram , Laura Smith , Pieter Abbeel , Matthew J. Johnson , Sergey Levine

* under review for ICML 2019 

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SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning


Aug 28, 2018
Marvin Zhang , Sharad Vikram , Laura Smith , Pieter Abbeel , Matthew J. Johnson , Sergey Levine


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