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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 Review of Uncertainty for Deep Reinforcement Learning
Owen Lockwood, Mei Si
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2022) Vol. 18, Iss. 1, pp. 155-162
Open Access | Times Cited: 21

Showing 21 citing articles:

Towards Robust Decision-Making for Autonomous Driving on Highway
Kai Yang, Xiaolin Tang, Sen Qiu, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 72, Iss. 9, pp. 11251-11263
Closed Access | Times Cited: 46
Generic Multi-Agent AI Framework for Weighted Dynamic Corridor Price Optimisation
Walter Kurz
(2025)
Closed Access | Times Cited: 1
Deep stochastic reinforcement learning-based energy management strategy for fuel cell hybrid electric vehicles
Basel Jouda, Ahmad Jobran Al-Mahasneh, Mohammed Abu Mallouh
Energy Conversion and Management (2023) Vol. 301, pp. 117973-117973
Closed Access | Times Cited: 21
Connectivity conservation planning through deep reinforcement learning
Julián Equihua, Michael Beckmann, Ralf Seppelt
Methods in Ecology and Evolution (2024) Vol. 15, Iss. 4, pp. 779-790
Open Access | Times Cited: 2
A Learning-and-Tube-Based Robust Model Predictive Control Strategy for Plug-In Hybrid Electric Vehicle
Zhuoran Hou, Liang Chu, Zhiqi Guo, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 579-592
Open Access | Times Cited: 5
Deep deterministic policy gradient reinforcement learning for collision-free navigation of mobile robots in unknown environments
Taner Yılmaz, Ömür Aydoğmuş
Firat University Journal of Experimental and Computational Engineering (2023) Vol. 2, Iss. 2, pp. 87-96
Open Access | Times Cited: 4
A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning
Mingzhe Xing, Hangyu Mao, Shenglin Yin, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 2776-2788
Closed Access | Times Cited: 4
Uncertainty-aware hierarchical reinforcement learning for long-horizon tasks
Wenning Hu, Hongbin Wang, Ming He, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28555-28569
Closed Access | Times Cited: 4
Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning
Chao Chen, Yuanzhao Zhai, Zijian Gao, et al.
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 5, pp. 2410-2421
Closed Access | Times Cited: 4
Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets
Jinhao Li, Changlong Wang, Yanru Zhang, et al.
IEEE Transactions on Energy Markets Policy and Regulation (2024) Vol. 2, Iss. 3, pp. 392-406
Open Access | Times Cited: 1
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning☆
Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis
Neurocomputing (2023) Vol. 530, pp. 165-187
Open Access | Times Cited: 3
A Unified Uncertainty-Aware Exploration: Combining Epistemic and Aleatory Uncertainty
Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access | Times Cited: 2
A DQN-Based Coordination Method of HVAC and Energy Storage for Building Energy Management
Shaocong Wang, Xingying Chen, Le Bu, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 4891-4896
Closed Access | Times Cited: 2
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization
Yuanzhao Zhai, Yiying Li, Zijian Gao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 16678-16686
Open Access
Designing efficient brain tumor classifier using hybrid EfficientNet-faster R-CNN deep learning model
Aashutosh Kharb, Prachi Chaudhary
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035216-035216
Closed Access
Pricing Game of Flight Ticket Using Reinforcement Learning
Chenglong Cao, Xiaoling Zhu
(2024), pp. 367-371
Closed Access
Games of Knightian Uncertainty as AGI testbeds
Spyridon Samothrakis, Dennis J. N. J. Soemers, Damian Machlanski
2021 IEEE Conference on Games (CoG) (2024), pp. 1-4
Open Access
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, et al.
(2024), pp. 4939-4947
Closed Access
Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning
Zijian Gao, Yiying Li, Kele Xu, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 2, pp. 1181-1193
Closed Access | Times Cited: 1
Bayesian Optimization of Double-SAC Robotic Arm Path Planning Using Recent Prioritized Experience Replay
Shuai Yuan, Ke Wen, Feng Zhang, et al.
(2023), pp. 262-268
Closed Access
Uncertainty Quantification for Efficient and Risk-Sensitive Reinforcement Learning
Mohamed-Harith Ibrahim, S. Lecœuche, Jacques Boonært, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 1429-1434
Closed Access
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