Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2012.03548
Cited By
v1
v2
v3 (latest)
Reset-Free Lifelong Learning with Skill-Space Planning
7 December 2020
Kevin Lu
Aditya Grover
Pieter Abbeel
Igor Mordatch
CLL
OffRL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Reset-Free Lifelong Learning with Skill-Space Planning"
34 / 34 papers shown
Reliable Selection of Heterogeneous Treatment Effect Estimators
Jiayi Guo
Zijun Gao
CML
246
0
0
23 Nov 2025
MOSAIC: A Skill-Centric Algorithmic Framework for Long-Horizon Manipulation Planning
Itamar Mishani
Yorai Shaoul
Maxim Likhachev
373
4
0
23 Apr 2025
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman
Elliot Meyerson
Tarek El-Gaaly
Kenneth O. Stanley
Tarin Ziyaee
378
7
0
22 Jan 2025
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Donghoon Kim
Minjong Yoo
Honguk Woo
OffRL
264
0
0
21 Aug 2024
Intelligent Switching for Reset-Free RL
Darshan Patil
Janarthanan Rajendran
Glen Berseth
Sarath Chandar
249
1
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
300
31
0
22 Feb 2024
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2023
Jingyun Yang
Max Sobol Mark
Brandon Vu
Archit Sharma
Jeannette Bohg
Chelsea Finn
OffRL
OnRL
237
51
0
23 Oct 2023
Efficient Planning with Latent Diffusion
International Conference on Learning Representations (ICLR), 2023
Wenhao Li
DiffM
473
11
0
30 Sep 2023
Beyond Reward: Offline Preference-guided Policy Optimization
International Conference on Machine Learning (ICML), 2023
Yachen Kang
Dingxu Shi
Jinxin Liu
Li He
Xuetao Zhang
OffRL
248
39
0
25 May 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum
International Conference on Machine Learning (ICML), 2023
Jigang Kim
Daesol Cho
H. J. Kim
342
4
0
17 May 2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing
Conference on Robot Learning (CoRL), 2023
Kyle Stachowicz
Dhruv Shah
Arjun Bhorkar
Ilya Kostrikov
Sergey Levine
OffRL
289
35
0
19 Apr 2023
When Learning Is Out of Reach, Reset: Generalization in Autonomous Visuomotor Reinforcement Learning
Zichen Zhang
Luca Weihs
OffRL
252
5
0
30 Mar 2023
Embodied Active Learning of Relational State Abstractions for Bilevel Planning
Amber Li
Tom Silver
243
17
0
08 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning
Conference on Robot Learning (CoRL), 2023
Archit Sharma
Ahmed M. Ahmed
Rehaan Ahmad
Chelsea Finn
SSL
313
31
0
02 Mar 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL
International Conference on Machine Learning (ICML), 2023
Seohong Park
Sergey Levine
296
11
0
08 Feb 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction
International Conference on Machine Learning (ICML), 2023
Hoai-An Nguyen
Ching-An Cheng
OffRL
379
3
0
06 Jan 2023
Building a Subspace of Policies for Scalable Continual Learning
International Conference on Learning Representations (ICLR), 2022
Jean-Baptiste Gaya
T. Doan
Lucas Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
499
39
0
18 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey
Zhihui Xie
Zichuan Lin
Junyou Li
Shuai Li
Deheng Ye
OffRL
OnRL
AI4CE
278
33
0
08 Nov 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation
IEEE Robotics and Automation Letters (RA-L), 2022
Shuo Cheng
Danfei Xu
354
57
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
374
37
0
15 Jul 2022
Skill-based Model-based Reinforcement Learning
Conference on Robot Learning (CoRL), 2022
Lu Shi
Joseph J. Lim
Youngwoon Lee
405
58
0
15 Jul 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
Conference on Robot Learning (CoRL), 2022
Homer Walke
Jonathan Yang
Albert Yu
Aviral Kumar
Jedrzej Orbik
Avi Singh
Sergey Levine
OffRL
OnRL
299
39
0
11 Jul 2022
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
International Conference on Machine Learning (ICML), 2022
Shentao Yang
Yihao Feng
Shujian Zhang
Mi Zhou
OffRL
276
14
0
14 Jun 2022
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
International Conference on Machine Learning (ICML), 2022
Archit Sharma
Rehaan Ahmad
Chelsea Finn
OOD
OffRL
223
23
0
11 May 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
International Conference on Machine Learning (ICML), 2022
Yi Wan
Ali Rahimi-Kalahroudi
Janarthanan Rajendran
Ida Momennejad
Sarath Chandar
H. V. Seijen
289
14
0
25 Apr 2022
TransDreamer: Reinforcement Learning with Transformer World Models
Changgu Chen
Yi-Fu Wu
Jaesik Yoon
Sungjin Ahn
OffRL
450
145
0
19 Feb 2022
Online Decision Transformer
International Conference on Machine Learning (ICML), 2022
Qinqing Zheng
Amy Zhang
Aditya Grover
OffRL
403
251
0
11 Feb 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking
International Conference on Learning Representations (ICLR), 2021
Archit Sharma
Kelvin Xu
Nikhil Sardana
Abhishek Gupta
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
270
36
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
456
23
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
203
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
285
39
0
17 Sep 2021
Autonomous Reinforcement Learning via Subgoal Curricula
Neural Information Processing Systems (NeurIPS), 2021
Archit Sharma
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
289
35
0
27 Jul 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling
Neural Information Processing Systems (NeurIPS), 2021
Lili Chen
Kevin Lu
Aravind Rajeswaran
Kimin Lee
Aditya Grover
Michael Laskin
Pieter Abbeel
A. Srinivas
Igor Mordatch
OffRL
707
2,154
0
02 Jun 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Journal of Artificial Intelligence Research (JAIR), 2020
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLL
OffRL
661
401
0
25 Dec 2020
1
Page 1 of 1
