Multi-Environment Pretraining Enables Transfer to Action Limited
Datasets

Multi-Environment Pretraining Enables Transfer to Action Limited Datasets

23 November 2022

Pieter Abbeel

Papers citing "Multi-Environment Pretraining Enables Transfer to Action Limited Datasets"

7 / 7 papers shown

Title
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 56 122 0 17 Jan 2024
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning Jiachen Li Qiaozi Gao Michael Johnston Xiaofeng Gao Xuehai He Suhaila Shakiah Hangjie Shi R. Ghanadan William Yang Wang LM&Ro 19 12 0 14 Oct 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 24 20 0 26 May 2023
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining G. Thomas Ching-An Cheng Ricky Loynd Felipe Vieira Frujeri Vibhav Vineet Mihai Jalobeanu Andrey Kolobov SSL 21 8 0 15 Mar 2023
Foundation Models for Decision Making: Problems, Methods, and Opportunities Sherry Yang Ofir Nachum Yilun Du Jason W. Wei Pieter Abbeel Dale Schuurmans LM&Ro OffRL LRM AI4CE 90 154 0 07 Mar 2023
A Survey on Transformers in Reinforcement Learning Wenzhe Li Hao Luo Zichuan Lin Chongjie Zhang Zongqing Lu Deheng Ye OffRL MU AI4CE 35 55 0 08 Jan 2023
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017