A Workflow for Offline Model-Free Robotic Reinforcement Learning

22 September 2021

Stephen Tian

Papers citing "A Workflow for Offline Model-Free Robotic Reinforcement Learning"

20 / 20 papers shown

Title
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning Kun Wu Yinuo Zhao Z. Xu Zhengping Che Chengxiang Yin C. Liu Qinru Qiu Feiferi Feng OffRL 100 1 0 22 Dec 2024
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling Jesse van Remmerden Z. Bukhsh Yingqian Zhang OffRL OnRL 43 1 0 16 Sep 2024
State-Constrained Offline Reinforcement Learning Charles A. Hepburn Yue Jin Giovanni Montana OffRL 35 0 0 23 May 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning Anya Sims Cong Lu Yee Whye Teh OffRL 27 3 0 19 Feb 2024
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias Max Sobol Mark Archit Sharma Fahim Tajwar Rafael Rafailov Sergey Levine Chelsea Finn OffRL OnRL 28 1 0 12 Oct 2023
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning Chenxiao Gao Chenyang Wu Mingjun Cao Rui Kong Zongzhang Zhang Yang Yu OffRL 29 13 0 12 Sep 2023
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware Nico Gürtler Sebastian Blaes Pavel Kolev Felix Widmaier Manuel Wüthrich Stefan Bauer Bernhard Schölkopf Georg Martius OffRL 33 28 0 28 Jul 2023
Affordances from Human Videos as a Versatile Representation for Robotics Shikhar Bahl Russell Mendonca Lili Chen Unnat Jain Deepak Pathak 41 161 0 17 Apr 2023
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 26 21 0 13 Dec 2022
Is Conditional Generative Modeling all you need for Decision-Making? Anurag Ajay Yilun Du Abhi Gupta J. Tenenbaum Tommi Jaakkola Pulkit Agrawal DiffM 47 360 0 28 Nov 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 28 14 0 27 Oct 2022
Offline RL Policies Should be Trained to be Adaptive Dibya Ghosh Anurag Ajay Pulkit Agrawal Sergey Levine OffRL 27 45 0 05 Jul 2022
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies Satvik Sharma Ellen R. Novoseller Vainavi Viswanath Zaynah Javed R. Parikh Ryan Hoque Ashwin Balakrishna Daniel S. Brown Ken Goldberg 19 8 0 02 Jul 2022
Vision-Based Manipulators Need to Also See from Their Hands Kyle Hsu Moo Jin Kim Rafael Rafailov Jiajun Wu Chelsea Finn 24 44 0 15 Mar 2022
Supported Policy Optimization for Offline Reinforcement Learning Jialong Wu Haixu Wu Zihan Qiu Jianmin Wang Mingsheng Long OffRL 29 64 0 13 Feb 2022
Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning Samin Yeasar Arnob Riashat Islam Doina Precup OffRL 16 4 0 31 Dec 2021
Continuous Doubly Constrained Batch Reinforcement Learning Rasool Fakoor Jonas W. Mueller Kavosh Asadi Pratik Chaudhari Alex Smola OffRL 204 27 0 18 Feb 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rongjun Qin Songyi Gao Xingyuan Zhang Zhen Xu Shengkai Huang Zewen Li Weinan Zhang Yang Yu OffRL 132 78 0 01 Feb 2021
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian Suraj Nair F. Ebert Sudeep Dasari Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 168 58 0 30 Dec 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,955 0 04 May 2020