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2011.05286
Cited By
Continual Learning of Control Primitives: Skill Discovery via Reset-Games
10 November 2020
Kelvin Xu
Siddharth Verma
Chelsea Finn
Sergey Levine
CLL
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Papers citing
"Continual Learning of Control Primitives: Skill Discovery via Reset-Games"
26 / 26 papers shown
NeoRL: Efficient Exploration for Nonepisodic RL
Bhavya Sukhija
Lenart Treven
Florian Dorfler
Stelian Coros
Andreas Krause
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671
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0
03 Jun 2024
Intelligent Switching for Reset-Free RL
Darshan Patil
Janarthanan Rajendran
Glen Berseth
Sarath Chandar
253
1
0
02 May 2024
Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge
IEEE Robotics and Automation Letters (RA-L), 2023
Sang-Hyun Lee
Seung-Woo Seo
ODL
CLL
SSL
411
3
0
15 Nov 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback
Conference on Robot Learning (CoRL), 2023
Max Balsells
M. Torné
Zihan Wang
Samedh Desai
Pulkit Agrawal
Abhishek Gupta
304
14
0
31 Oct 2023
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation
Conference on Robot Learning (CoRL), 2023
Zheyuan Hu
Aaron Rovinsky
Jianlan Luo
Vikash Kumar
Abhishek Gupta
Sergey Levine
OffRL
302
15
0
06 Sep 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
358
4
0
17 May 2023
Habits and goals in synergy: a variational Bayesian framework for behavior
Nature Communications (Nat. Commun.), 2023
Dongqi Han
Kenji Doya
Dongsheng Li
Jun Tani
BDL
283
142
0
11 Apr 2023
When Learning Is Out of Reach, Reset: Generalization in Autonomous Visuomotor Reinforcement Learning
Zichen Zhang
Luca Weihs
OffRL
261
5
0
30 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
315
31
0
02 Mar 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
952
1,250
0
31 Jan 2023
Pretraining in Deep Reinforcement Learning: A Survey
Zhihui Xie
Zichuan Lin
Junyou Li
Shuai Li
Deheng Ye
OffRL
OnRL
AI4CE
286
33
0
08 Nov 2022
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Annie Xie
Fahim Tajwar
Archit Sharma
Chelsea Finn
274
23
0
19 Oct 2022
Simple Emergent Action Representations from Multi-Task Policy Training
International Conference on Learning Representations (ICLR), 2022
Pu Hua
Yubei Chen
Huazhe Xu
MLAU
235
7
0
18 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Andrew Zhao
Matthieu Lin
Yangguang Li
Wenshu Fan
Gao Huang
262
14
0
13 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
404
37
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
327
39
0
11 Jul 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
253
23
0
11 May 2022
Automating Reinforcement Learning with Example-based Resets
IEEE Robotics and Automation Letters (RA-L), 2022
Jigang Kim
Jaehyeon Park
Daesol Cho
H. J. Kim
CLL
OnRL
348
17
0
05 Apr 2022
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
International Conference on Learning Representations (ICLR), 2022
Quanyi Li
Zhenghao Peng
Bolei Zhou
312
77
0
17 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
284
37
0
17 Dec 2021
Information is Power: Intrinsic Control via Information Capture
Nick Rhinehart
Jenny Wang
Glen Berseth
John D. Co-Reyes
Danijar Hafner
Chelsea Finn
Sergey Levine
271
12
0
07 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
464
23
0
27 Oct 2021
Long-Term Exploration in Persistent MDPs
L. Ugadiarov
Alexey Skrynnik
Aleksandr I. Panov
172
3
0
21 Sep 2021
Autonomous Reinforcement Learning via Subgoal Curricula
Neural Information Processing Systems (NeurIPS), 2021
Archit Sharma
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
299
36
0
27 Jul 2021
Explore and Control with Adversarial Surprise
Arnaud Fickinger
Natasha Jaques
Samyak Parajuli
Michael Chang
Nicholas Rhinehart
Glen Berseth
Stuart J. Russell
Sergey Levine
310
8
0
12 Jul 2021
Automatic Curricula via Expert Demonstrations
Siyu Dai
Andreas G. Hofmann
B. Williams
289
7
0
16 Jun 2021
1
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