Preventing Imitation Learning with Adversarial Policy Ensembles. - Albert Zhan; Stas Tiomkin; Pieter Abbeel (CoRR, 2020)

A Framework for Efficient Robotic Manipulation. - Albert Zhan; Philip Zhao; Lerrel Pinto; Pieter Abbeel; Michael Laskin (CoRR, 2020)

URLB: Unsupervised Reinforcement Learning Benchmark. - Michael Laskin; Denis Yarats; Hao Liu 055; Kimin Lee; Albert Zhan; Kevin Lu; Catherine Cang; Lerrel Pinto; Pieter Abbeel (NeurIPS Datasets and Benchmarks, 2021)

Hierarchical Few-Shot Imitation with Skill Transition Models. - Kourosh Hakhamaneshi; Ruihan Zhao 001; Albert Zhan; Pieter Abbeel; Michael Laskin (ICLR, 2022)

Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation. - Albert Zhan; Ruihan Zhao 001; Lerrel Pinto; Pieter Abbeel; Michael Laskin (IROS, 2022)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)