Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Avi Singh, Albert S. Yu, T. Jonathan Yang, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
Rafael Figueiredo Prudencio, Marcos R. O. A. Máximo, Esther Luna Colombini
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 10237-10257
Open Access | Times Cited: 133
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, et al.
(2021)
Open Access | Times Cited: 71
Offline Meta-Reinforcement Learning for Industrial Insertion
Tony Z. Zhao, Jianlan Luo, Oleg Sushkov, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 6386-6393
Open Access | Times Cited: 40
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu, Aviral Kumar, Rafael Rafailov, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 21
Offline Reinforcement Learning with Reverse Model-based Imagination
Jianhao Wang, Wenzhe Li, Haozhe Jiang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 18
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment
Huihan Liu, Soroush Nasiriany, Lance Zhang, et al.
(2023)
Open Access | Times Cited: 7
Robustly Learning Composable Options in Deep Reinforcement Learning
Akhil Bagaria, J Senthil, Matthew Slivinski, et al.
(2021), pp. 2161-2169
Open Access | Times Cited: 14
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning
Abhishek Gupta, Corey Lynch, Brandon Kinman, et al.
(2023)
Open Access | Times Cited: 4
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
Ashvin Nair, B. X. Zhu, Gokul Narayanan, et al.
(2023)
Open Access | Times Cited: 4
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
Alexander Herzog, Kanishka Rao, Karol Hausman, et al.
(2023)
Open Access | Times Cited: 4
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Yevgen Chebotar, Karol Hausman, Yao Lu, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 10
Demonstration-Guided Reinforcement Learning with Learned Skills
Karl Pertsch, Youngwoon Lee, Yue Wu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8
Real World Offline Reinforcement Learning with Realistic Data Source
Gaoyue Zhou, Liyiming Ke, Siddhartha S Srinivasa, et al.
(2023) Vol. 33, pp. 7176-7183
Open Access | Times Cited: 3
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning.
Samarth Sinha, Animesh Garg
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 5
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 4
Enhancing Offline Reinforcement Learning via Dynamics-Aware Mixup
Chang Tan, Yunjie Su, Jiaao Wang
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 33, pp. 1-8
Closed Access
Learning to Solve Tasks with Exploring Prior Behaviours
Ruiqi Zhu, Siyuan Li, Tianhong Dai, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 7501-7507
Open Access | Times Cited: 1
Review on Peg-in-Hole Insertion Technology Based on Reinforcement Learning
Liancheng Shen, Jianhua Su, Xiaodong Zhang
2021 China Automation Congress (CAC) (2023), pp. 6688-6695
Closed Access | Times Cited: 1
Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning
Xiaoyun Feng, Jiang Li, Xudong Yu, et al.
IEEE Transactions on Games (2022) Vol. 16, Iss. 1, pp. 102-112
Closed Access | Times Cited: 2
A Simple Approach to Continual Learning by Transferring Skill Parameters
K.R. Zentner, Ryan Julian, Ujjwal Puri, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
Seunghyun Lee, Younggyo Seo, Kimin Lee, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline Reinforcement Learning Settings
Sudhir Pratap Yadav, Rajendra Nagar, Suril V. Shah
arXiv (Cornell University) (2023)
Open Access
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery
Yiqin Yang, Hao Hu, Wenzhe Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 10843-10851
Open Access
Model-Based Offline Reinforcement Learning with Local Misspecification
Kefan Dong, Yannis Flet-Berliac, Allen Nie, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7423-7431
Open Access
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