Demonstration-Bootstrapped Autonomous Practicing via Multi-Task
Reinforcement Learning

Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning

29 March 2022

Abhishek Gupta

Papers citing "Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning"

17 / 17 papers shown

Title
Continuously Improving Mobile Manipulation with Autonomous Real-World RL Russell Mendonca Emmanuel Panov Bernadette Bucher Jiuguang Wang Deepak Pathak OffRL 33 5 0 30 Sep 2024
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning Yixiao Wang Yifei Zhang Mingxiao Huo Ran Tian Xiang Zhang ... Chenfeng Xu Pengliang Ji Wei Zhan Mingyu Ding M. Tomizuka MoE 36 18 0 01 Jul 2024
Intelligent Switching for Reset-Free RL Darshan Patil Janarthanan Rajendran Glen Berseth Sarath Chandar 31 0 0 02 May 2024
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback Max Balsells M. Torné Zihan Wang Samedh Desai Pulkit Agrawal Abhishek Gupta 37 10 0 31 Oct 2023
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning Jingyun Yang Max Sobol Mark Brandon Vu Archit Sharma Jeannette Bohg Chelsea Finn OffRL OnRL 19 20 0 23 Oct 2023
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models Zuxin Liu Jesse Zhang Kavosh Asadi Yao Liu Ding Zhao Shoham Sabach Rasool Fakoor ALM AI4CE 21 24 0 09 Oct 2023
When Learning Is Out of Reach, Reset: Generalization in Autonomous Visuomotor Reinforcement Learning Zichen Zhang Luca Weihs OffRL 24 5 0 30 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning Archit Sharma Ahmed M. Ahmed Rehaan Ahmad Chelsea Finn SSL 46 17 0 02 Mar 2023
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data Zichen Jeff Cui Yibin Wang Nur Muhammad (Mahi) Shafiullah Lerrel Pinto LM&Ro VGen OffRL 27 89 0 18 Oct 2022
You Only Live Once: Single-Life Reinforcement Learning Annie S. Chen Archit Sharma Sergey Levine Chelsea Finn OffRL 16 20 0 17 Oct 2022
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks Albert Yu Raymond J. Mooney LM&Ro 24 19 0 10 Oct 2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot Tianli Ding L. Graesser Saminda Abeyruwan David B. DÁmbrosio Anish Shankar P. Sermanet Pannag R. Sanketi Corey Lynch 47 20 0 07 Oct 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning Erick Rosete-Beas Oier Mees Gabriel Kalweit Joschka Boedecker Wolfram Burgard OffRL 28 81 0 19 Sep 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning Homer Walke Jonathan Yang Albert Yu Aviral Kumar Jedrzej Orbik Avi Singh Sergey Levine OffRL OnRL 25 32 0 11 Jul 2022
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention Abhishek Gupta Justin Yu Tony Zhao Vikash Kumar Aaron Rovinsky Kelvin Xu Thomas Devlin Sergey Levine OffRL 69 94 0 22 Apr 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 413 0 16 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 334 1,951 0 04 May 2020