Autonomous Reinforcement Learning: Formalism and Benchmarking

17 December 2021

Abhishek Gupta

Papers citing "Autonomous Reinforcement Learning: Formalism and Benchmarking"

24 / 24 papers shown

Title
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Yi Wan D. Korenkevych Zheqing Zhu OffRL CLL 40 0 0 12 Jan 2025
Affordance-Guided Reinforcement Learning via Visual Prompting Olivia Y. Lee Annie Xie Kuan Fang Karl Pertsch Chelsea Finn OffRL LM&Ro 74 7 0 14 Jul 2024
Contrast Sets for Evaluating Language-Guided Robot Policies Abrar Anwar Rohan Gupta Jesse Thomason 29 2 0 19 Jun 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 28 0 0 03 Jun 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes Kyle Stachowicz Sergey Levine 17 6 0 07 May 2024
Intelligent Switching for Reset-Free RL Darshan Patil Janarthanan Rajendran Glen Berseth Sarath Chandar 31 0 0 02 May 2024
Results and Lessons Learned from Autonomous Driving Transportation Services in Airfield, Crowded Indoor, and Urban Environments Doosan Baek Sanghyun Kim Seung-Woo Seo Sanghyun Lee 27 1 0 02 Mar 2024
Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge Sang-Hyun Lee Seung-Woo Seo ODL CLL SSL 18 2 0 15 Nov 2023
SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations Chan Kim JaeKyung Cho C. Bobda Seung-Woo Seo Seong-Woo Kim 16 3 0 07 Nov 2023
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
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation Zheyuan Hu Aaron Rovinsky Jianlan Luo Vikash Kumar Abhishek Gupta Sergey Levine OffRL 14 9 0 06 Sep 2023
Continual Learning as Computationally Constrained Reinforcement Learning Saurabh Kumar Henrik Marklund Anand Srinivasa Rao Yifan Zhu Hong Jun Jeon Yueyang Liu Benjamin Van Roy CLL 27 22 0 10 Jul 2023
Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces Brahma S. Pavse M. Zurek Yudong Chen Qiaomin Xie Josiah P. Hanna OffRL 33 1 0 02 Jun 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum Jigang Kim Daesol Cho H. J. Kim 17 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 30 26 0 19 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 46 17 0 02 Mar 2023
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning Annie Xie Fahim Tajwar Archit Sharma Chelsea Finn 31 14 0 19 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
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
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning Archit Sharma Rehaan Ahmad Chelsea Finn OOD OffRL 19 21 0 11 May 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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 70 308 0 22 May 2012