Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning

18 November 2017

Papers citing "Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning"

42 / 42 papers shown

Title
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention Sang-Hyun Lee Daehyeok Kwon Seung-Woo Seo 76 1 0 17 Jan 2025
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Yi Wan D. Korenkevych Zheqing Zhu OffRL CLL 45 0 0 12 Jan 2025
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 30 0 0 03 Jun 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 36 2 0 18 May 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning Jianlan Luo Zheyuan Hu Charles Xu You Liang Tan Jacob Berg Archit Sharma S. Schaal Chelsea Finn Abhishek Gupta Sergey Levine OffRL OnRL 34 40 0 29 Jan 2024
Learning to Recover for Safe Reinforcement Learning Haoyu Wang Xin Yuan Qinqing Ren 34 0 0 21 Sep 2023
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation Zheyuan Hu Aaron Rovinsky Jianlan Luo Vikash Kumar Abhishek Gupta Sergey Levine OffRL 22 9 0 06 Sep 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum Jigang Kim Daesol Cho H. J. Kim 22 3 0 17 May 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction Utsav Singh Vinay P. Namboodiri 31 3 0 07 Apr 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 51 17 0 02 Mar 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction Hoai-An Nguyen Ching-An Cheng OffRL 18 2 0 06 Jan 2023
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance Kelvin Xu Zheyuan Hu Ria Doshi Aaron Rovinsky Vikash Kumar Abhishek Gupta Sergey Levine 20 19 0 19 Dec 2022
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty Mohamad H. Danesh Panpan Cai David Hsu 6 7 0 23 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
Formalizing the Problem of Side Effect Regularization Alexander Matt Turner Aseem Saxena Prasad Tadepalli 19 2 0 23 Jun 2022
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning Abhishek Gupta Corey Lynch Brandon Kinman Garrett Peake Sergey Levine Karol Hausman OffRL 19 17 0 29 Mar 2022
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots Yufeng Yuan Rupam Mahmood OffRL 25 19 0 23 Mar 2022
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation Aivar Sootla Alexander I. Cowen-Rivers Taher Jafferjee Ziyan Wang D. Mguni Jun Wang Haitham Bou-Ammar 32 54 0 14 Feb 2022
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees Kai Hsu Allen Z. Ren D. Nguyen Anirudha Majumdar J. F. Fisac OffRL 26 41 0 20 Jan 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 41 26 0 17 Dec 2021
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey M. Askarpour Alan Wassyng M. Lawford R. Paige Z. Diskin 20 0 0 29 Nov 2021
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning Jinning Li Chen Tang M. Tomizuka Wei Zhan OffRL 11 21 0 09 Nov 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 34 16 0 22 Oct 2021
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning Hao-Lun Hsu Qiuhua Huang Sehoon Ha OffRL 42 11 0 29 Sep 2021
Safe Reinforcement Learning Using Advantage-Based Intervention Nolan Wagener Byron Boots Ching-An Cheng 29 52 0 16 Jun 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 38 175 0 10 Mar 2021
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning D. Graves Jun Jin Jun Luo 38 2 0 29 Dec 2020
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 33 33 0 10 Nov 2020
Learning to be Safe: Deep RL with a Safety Critic K. Srinivasan Benjamin Eysenbach Sehoon Ha Jie Tan Chelsea Finn OffRL 17 141 0 27 Oct 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020
Avoiding Side Effects in Complex Environments Alexander Matt Turner Neale Ratzlaff Prasad Tadepalli 24 34 0 11 Jun 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 27 169 0 20 Feb 2020
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos Laura M. Smith Nikita Dhawan Marvin Zhang Pieter Abbeel Sergey Levine 41 156 0 10 Dec 2019
SafeLife 1.0: Exploring Side Effects in Complex Environments Carroll L. Wainwright P. Eckersley 19 12 0 03 Dec 2019
Learning the Arrow of Time Nasim Rahaman Steffen Wolf Anirudh Goyal Roman Remme Yoshua Bengio 8 5 0 02 Jul 2019
Risk Averse Robust Adversarial Reinforcement Learning Xinlei Pan Daniel Seita Yang Gao John F. Canny AAML 16 96 0 31 Mar 2019
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation Chih-Yao Ma Zuxuan Wu G. Al-Regib Caiming Xiong Z. Kira LM&Ro 33 172 0 05 Mar 2019
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 17 433 0 26 Dec 2018
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 599 0 22 Sep 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 78 308 0 22 May 2012