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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:

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette, et al.
Journal of Artificial Intelligence Research (2023) Vol. 76, pp. 201-264
Open Access | Times Cited: 71

Showing 51-75 of 71 citing articles:

Robotic Embodied Intelligence: Integrating Language Models, Curated Knowledge, and Multimodal Feedback for Complex Task Success
Ruaridh Mon-Williams, Gen Li, Ran Long, et al.
Research Square (Research Square) (2024)
Open Access
Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies
Aitor Martínez-Seras, Alain Andrés, Javier Del Ser
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 30, pp. 1-10
Closed Access
Balanced Domain Randomization for Safe Reinforcement Learning
Cheongwoong Kang, Wonjoon Chang, Jaesik Choi
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9710-9710
Open Access
Visual Grounding for Object-Level Generalization in Reinforcement Learning
H. B. Jiang, Zongqing Lu
Lecture notes in computer science (2024), pp. 55-72
Closed Access
Simulation Diversity: An Approach for Accurate Performance Estimation in Reinforcement Learning
Christopher Carr, Miguel Martínez-García, Enyan Zhang, et al.
2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (2024), pp. 1-6
Closed Access
Path Planning for Robots Combined with Zero-Shot and Hierarchical Reinforcement Learning in Novel Environments
Mei Liu, Pengjie Xu
Actuators (2024) Vol. 13, Iss. 11, pp. 458-458
Open Access
Combined data augmentation framework for generalizing deep reinforcement learning from pixels
Xi Xiong, Chun Shen, Junhong Wu, et al.
Expert Systems with Applications (2024), pp. 125810-125810
Closed Access
Graceful Task Adaptation with a Bi-hemispheric RL Agent
Grant Nicholas, Levin Kuhlmann, Gideon Kowadlo
Lecture notes in computer science (2024), pp. 26-38
Closed Access
Efficient beam commissioning in HIPI accelerator based on reinforcement learning
Chunguang Su, Zhijun Wang, Xiaolong Chen, et al.
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (2024) Vol. 1072, pp. 170119-170119
Closed Access
Enhancing architectural space layout design by pretraining deep reinforcement learning agents
Reza Kakooee, Benjamin Dillenburger
Journal of Computational Design and Engineering (2024) Vol. 12, Iss. 1, pp. 149-166
Open Access
Few-Shot Transfer Learning for Deep Reinforcement Learning on Robotic Manipulation Tasks
Yuanzhi He, Christopher D. Wallbridge, Juan David Hernández, et al.
Lecture notes in computer science (2024), pp. 85-92
Closed Access
Learning to Generalize With Object-Centric Agents in the Open World Survival Game Crafter
Aleksandar Stanić, Yujin Tang, David Ha, et al.
IEEE Transactions on Games (2023) Vol. 16, Iss. 2, pp. 384-395
Closed Access | Times Cited: 1
Optimisation of Matrix Production System Reconfiguration with Reinforcement Learning
Leonhard Czarnetzki, Catherine Laflamme, Christoph Halbwidl, et al.
Lecture notes in computer science (2023), pp. 15-22
Closed Access | Times Cited: 1
Metrics for Assessing Generalization of Deep Reinforcement Learning in Parameterized Environments
Maciej Aleksandrowicz, Joanna Jaworek-Korjakowska
Journal of Artificial Intelligence and Soft Computing Research (2023) Vol. 14, Iss. 1, pp. 45-61
Open Access | Times Cited: 1
Information Optimization and Transferable State Abstractions in Deep Reinforcement Learning
Diego Gomez, Nicanor Quijano, Luis Felipe Giraldo
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-12
Closed Access | Times Cited: 2
Assessing Learned Representations under Open-World Novelty
Kaleigh Clary
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 13, pp. 16115-16116
Open Access
Energy Management for Hev Combining Naturalistic Driving Data and Deep Reinforcement Learning with High Generalization
Zemin Eitan Liu, Yanfei Li, Quan Zhou, et al.
(2023)
Closed Access
Maximum diffusion reinforcement learning
Thomas A. Berrueta, Allison Pinosky, Todd Murphey
arXiv (Cornell University) (2023)
Open Access
Sim-to-Real Transfer For Estimation Over Wireless Networks
Shivangi Agarwal, Adi Asija, Sanjit K. Kaul, et al.
(2023)
Open Access
Sim-to-Real Transfer For Estimation Over Wireless Networks
Shivangi Agarwal, Adi Asija, Sanjit K. Kaul, et al.
(2023)
Open Access
Reinforcement-Learning-Based Policy Design for Outage Minimization in DF Relaying Networks
Yuanzhe Geng, Erwu Liu, Rui Wang, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 9, pp. 15359-15374
Closed Access
Investigating Reinforcement Learning for Dynamic Difficulty Adjustment
Tiago Negrisoli De Oliveira, Luiz Chaimowicz
(2023)
Closed Access
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