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Reset-Free Lifelong Learning with Skill-Space Planning

7 December 2020

Pieter Abbeel

Papers citing "Reset-Free Lifelong Learning with Skill-Space Planning"

33 / 33 papers shown

Title
MOSAIC: A Skill-Centric Algorithmic Framework for Long-Horizon Manipulation Planning Itamar Mishani Yorai Shaoul Maxim Likhachev 83 0 0 23 Apr 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 160 4 0 22 Jan 2025
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks Donghoon Kim Minjong Yoo Honguk Woo OffRL 75 0 0 21 Aug 2024
Intelligent Switching for Reset-Free RL Darshan Patil Janarthanan Rajendran Glen Berseth Sarath Chandar 100 0 0 02 May 2024
Practice Makes Perfect: Planning to Learn Skill Parameter Policies Nishanth Kumar Tom Silver Willie McClinton Linfeng Zhao Stephen Proulx Tomás Lozano-Pérez L. Kaelbling Jennifer Barry 128 23 0 22 Feb 2024
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 99 26 0 23 Oct 2023
Efficient Planning with Latent Diffusion Wenhao Li DiffM 154 8 0 30 Sep 2023
Beyond Reward: Offline Preference-guided Policy Optimization Yachen Kang Dingxu Shi Jinxin Liu Li He Donglin Wang OffRL 75 35 0 25 May 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum Jigang Kim Daesol Cho H. J. Kim 79 3 0 17 May 2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing Kyle Stachowicz Dhruv Shah Arjun Bhorkar Ilya Kostrikov Sergey Levine OffRL 81 28 0 19 Apr 2023
When Learning Is Out of Reach, Reset: Generalization in Autonomous Visuomotor Reinforcement Learning Zichen Zhang Luca Weihs OffRL 75 5 0 30 Mar 2023
Embodied Active Learning of Relational State Abstractions for Bilevel Planning Amber Li Tom Silver 72 11 0 08 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning Archit Sharma Ahmed M. Ahmed Rehaan Ahmad Chelsea Finn SSL 137 18 0 02 Mar 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 74 10 0 08 Feb 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction Hoai-An Nguyen Ching-An Cheng OffRL 108 3 0 06 Jan 2023
Building a Subspace of Policies for Scalable Continual Learning Jean-Baptiste Gaya T. Doan Lucas Caccia Laure Soulier Ludovic Denoyer Roberta Raileanu CLL 121 33 0 18 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 93 23 0 08 Nov 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation Shuo Cheng Danfei Xu 143 41 0 23 Oct 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 131 33 0 15 Jul 2022
Skill-based Model-based Reinforcement Learning Lu Shi Joseph J. Lim Youngwoon Lee 115 46 0 15 Jul 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 92 32 0 11 Jul 2022
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning Shentao Yang Yihao Feng Shujian Zhang Mi Zhou OffRL 107 12 0 14 Jun 2022
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning Archit Sharma Rehaan Ahmad Chelsea Finn OOD OffRL 83 21 0 11 May 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods Yi Wan Ali Rahimi-Kalahroudi Janarthanan Rajendran Ida Momennejad Sarath Chandar H. V. Seijen 106 12 0 25 Apr 2022
TransDreamer: Reinforcement Learning with Transformer World Models Changgu Chen Yi-Fu Wu Jaesik Yoon Sungjin Ahn OffRL 116 98 0 19 Feb 2022
Online Decision Transformer Qinqing Zheng Amy Zhang Aditya Grover OffRL 97 212 0 11 Feb 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 126 27 0 17 Dec 2021
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching Pierre-Alexandre Kamienny Jean Tarbouriech Sylvain Lamprier A. Lazaric Ludovic Denoyer SSL 119 18 0 27 Oct 2021
A Simple Approach to Continual Learning by Transferring Skill Parameters K.R. Zentner Ryan Julian Ujjwal Puri Yulun Zhang Gaurav Sukhatme CLL 73 3 0 19 Oct 2021
Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation Jacky Liang Mohit Sharma A. LaGrassa Shivam Vats Saumya Saxena Oliver Kroemer 171 34 0 17 Sep 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 102 30 0 27 Jul 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 254 1,694 0 02 Jun 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 154 324 0 25 Dec 2020