COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning

27 October 2020

Papers citing "COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning"

29 / 79 papers shown

Title
An Open Tele-Impedance Framework to Generate Data for Contact-Rich Tasks in Robotic Manipulation A. Giammarino J. Gandarias Arash Ajoudani 43 4 0 21 Sep 2022
Offline Reinforcement Learning at Multiple Frequencies Kaylee Burns Tianhe Yu Chelsea Finn Karol Hausman OffRL 17 6 0 26 Jul 2022
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination Jiafei Lyu Xiu Li Zongqing Lu OffRL 24 25 0 16 Jun 2022
On the Role of Discount Factor in Offline Reinforcement Learning Haotian Hu Yiqin Yang Qianchuan Zhao Chongjie Zhang OffRL 29 18 0 07 Jun 2022
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning Jinning Li Chen Tang M. Tomizuka Wei Zhan OffRL 53 57 0 24 May 2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space Kuan Fang Patrick Yin Ashvin Nair Sergey Levine OffRL 50 29 0 17 May 2022
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning? Aviral Kumar Joey Hong Anika Singh Sergey Levine OffRL 22 76 0 12 Apr 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
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems Rafael Figueiredo Prudencio Marcos R. O. A. Máximo Esther Luna Colombini OffRL 18 221 0 02 Mar 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Chelsea Finn Sergey Levine OffRL 27 61 0 03 Feb 2022
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization Aviral Kumar Rishabh Agarwal Tengyu Ma Aaron Courville George Tucker Sergey Levine OffRL 31 65 0 09 Dec 2021
Application of Deep Reinforcement Learning to Payment Fraud Siddharth Vimal Kanishka Kayathwal H. Wadhwa Gaurav Dhama AAML OffRL 17 8 0 08 Dec 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 29 16 0 22 Oct 2021
A Simple Approach to Continual Learning by Transferring Skill Parameters K.R. Zentner Ryan Julian Ujjwal Puri Yulun Zhang Gaurav Sukhatme CLL 30 3 0 19 Oct 2021
Offline Meta-Reinforcement Learning for Industrial Insertion Tony Zhao Jianlan Luo Oleg O. Sushkov Rugile Pevceviciute N. Heess Jonathan Scholz S. Schaal Sergey Levine OffRL OnRL 19 80 0 08 Oct 2021
Offline Reinforcement Learning with Reverse Model-based Imagination Jianhao Wang Wenzhe Li Haozhe Jiang Guangxiang Zhu Siyuan Li Chongjie Zhang OffRL 101 59 0 01 Oct 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 143 85 0 22 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 26 78 0 16 Sep 2021
Collect & Infer -- a fresh look at data-efficient Reinforcement Learning Martin Riedmiller Jost Tobias Springenberg Roland Hafner N. Heess OffRL 18 17 0 23 Aug 2021
Sequence Adaptation via Reinforcement Learning in Recommender Systems Stefanos Antaris Dimitrios Rafailidis 21 5 0 31 Jul 2021
Demonstration-Guided Reinforcement Learning with Learned Skills Karl Pertsch Youngwoon Lee Yue Wu Joseph J. Lim OffRL 19 82 0 21 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee Younggyo Seo Kimin Lee Pieter Abbeel Jinwoo Shin OffRL OnRL 14 179 0 01 Jul 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn Sergey Levine SSL OffRL 23 145 0 15 Apr 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study Jianlan Luo Oleg O. Sushkov Rugile Pevceviciute Wenzhao Lian Chang Su Mel Vecerík Ning Ye S. Schaal Jonathan Scholz OffRL 19 60 0 21 Mar 2021
Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks Thanh Nguyen-Tang Sunil R. Gupta Hung The Tran Svetha Venkatesh OffRL 57 7 0 11 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 26 104 0 10 Mar 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 413 0 16 Feb 2021
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