Chaining Behaviors from Data with Model-Free Reinforcement Learning. - Avi Singh; Albert Yu 002; Jonathan Yang; Jesse Zhang; Aviral Kumar; Sergey Levine (CoRL, 2020)

COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning. - Avi Singh; Albert Yu 002; Jonathan Yang; Jesse Zhang; Aviral Kumar; Sergey Levine (CoRR, 2020)

Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. - Avi Singh; Huihan Liu; Gaoyue Zhou; Albert Yu 002; Nicholas Rhinehart; Sergey Levine (ICLR, 2021)

Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning. - Homer Walke; Jonathan Yang; Albert Yu 002; Aviral Kumar; Jedrzej Orbik; Avi Singh; Sergey Levine (CoRL, 2022)

Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks. - Albert Yu 002; Raymond J. Mooney (ICLR, 2023)

Natural Language Can Help Bridge the Sim2Real Gap. - Albert Yu 002; Adeline Foote; Raymond Mooney; Roberto Martín-Martín (Robotics: Science and Systems, 2024)

BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation. - Rutav Shah; Albert Yu 002; Yifeng Zhu; Yuke Zhu; Roberto Martín-Martín (CoRR, 2024)