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:

Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
Xue Bin Peng, Aviral Kumar, Grace Zhang, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 154

Showing 51-75 of 154 citing articles:

Training Agents using Upside-Down Reinforcement Learning.
Rupesh Kumar Srivastava, Pranav Shyam, Filipe Mutz, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 19
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
Yiqin Yang, Xiaoteng Ma, Chenghao Li, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 15
Reward-Conditioned Policies
Aviral Kumar, Xue Bin Peng, Sergey Levine
arXiv (Cornell University) (2019)
Open Access | Times Cited: 16
Model-Based Offline Planning
Arthur Argenson, Gabriel Dulac-Arnold
International Conference on Learning Representations (2021)
Closed 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
P2DT: Mitigating Forgetting in Task-Incremental Learning with Progressive Prompt Decision Transformer
Zhiyuan Wang, Xiaoyang Qu, Jing Xiao, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7265-7269
Open Access | Times Cited: 1
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning
Jinxin Liu, Ziqi Zhang, Zhenyu Wei, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 12, pp. 13945-13953
Open Access | Times Cited: 1
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
Jesse Zhang, Karl Pertsch, Jiahui Zhang, et al.
(2024), pp. 9168-9175
Open Access | Times Cited: 1
Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
Chenyang Cao, Zichen Yan, Renhao Lu, et al.
(2024), pp. 2838-2844
Open Access | Times Cited: 1
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning
Jingyun Yang, Max Sobol Mark, Brandon Vu, et al.
(2024), pp. 4804-4811
Open Access | Times Cited: 1
Offline reinforcement learning based feeding strategy of ethylene cracking furnace
Haojun Zhong, Zhenlei Wang, Yuzhe Hao
Computers & Chemical Engineering (2024) Vol. 192, pp. 108864-108864
Closed Access | Times Cited: 1
Offline Learning from Demonstrations and Unlabeled Experience
Konrad Żołna, Alexander Novikov, Ksenia Konyushkova, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 11
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL
Catherine Cang, Aravind Rajeswaran, Pieter Abbeel, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 9
Offline Reinforcement Learning with Value-based Episodic Memory
Xiaoteng Ma, Yiqin Yang, Hao Hu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 9
Offline Reinforcement Learning with Soft Behavior Regularization
Haoran Xu, Xianyuan Zhan, Jianxiong Li, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 9
Representation Balancing Offline Model-based Reinforcement Learning
Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim
(2021)
Closed Access | Times Cited: 8
TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations
Shiyu Huang, Wenze Chen, Longfei Zhang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8
Learning new attack vectors from misuse cases with deep reinforcement learning
Eric MSP Veith, Arlena Wellßow, Mathias Uslar
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 3
Cherry-Picking with Reinforcement Learning
Yunchu Zhang, Liyiming Ke, A. Deshpande, et al.
(2023)
Open Access | Times Cited: 3
PLAS: Latent Action Space for Offline Reinforcement Learning
Wenxuan Zhou, Sujay Bajracharya, David Held
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 8
Offline Reinforcement Learning from Images with Latent Space Models
Rafael Rafailov, Tianhe Yu, Aravind Rajeswaran, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 8
Semi-supervised reward learning for offline reinforcement learning
Ksenia Konyushkova, Konrad Żołna, Yusuf Aytar, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 7
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning.
Abbas Abdolmaleki, Sandy H. Huang, Giulia Vezzani, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 7
GRAC: Self-Guided and Self-Regularized Actor-Critic
Lin Shao, Yifan You, Mengyuan Yan, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 6

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