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:

JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin, Junyou Li, Jianing Shi, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 3257-3263
Open Access | Times Cited: 10

Showing 10 citing articles:

Hierarchical Reinforcement Learning from Demonstration via Reachability-Based Reward Shaping
Xiaozhu Gao, Jinhui Liu, Bo Wan, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 3
Open Access | Times Cited: 2

Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction
Shaofei Cai, Zihao Wang, Xiaojian Ma, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 13734-13744
Open Access | Times Cited: 6

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization
Tiantian Zhang, Zichuan Lin, Yuxing Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14588-14602
Open Access | Times Cited: 1

Tjong: A transformer‐based Mahjong AI via hierarchical decision‐making and fan backward
Xiali Li, Bo Liu, Zhi Wei, et al.
CAAI Transactions on Intelligence Technology (2024) Vol. 9, Iss. 4, pp. 982-995
Open Access

D2AH-PPO: Playing ViZDoom With Object-Aware Hierarchical Reinforcement Learning
Longyu Niu, Jun Wan
2022 5th International Symposium on Autonomous Systems (ISAS) (2024) Vol. 5, pp. 1-6
Closed Access

Extended Generative Adversarial Imitation Learning for Autonomous Agents in Minecraft Game
Hyung-Jun Moon, Sung-Bae Cho
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
Hao Li, Xue Yang, Zhaokai Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 16426-16435
Closed Access

MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception
Yiran Qin, Enshen Zhou, Qichang Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 16307-16316
Closed Access

See and Think: Embodied Agent in Virtual Environment
Z. G. Zhao, Wenhao Chai, Xuan Wang, et al.
Lecture notes in computer science (2024), pp. 187-204
Closed Access

Reinforcement Learning Friendly Vision-Language Model for Minecraft
H. B. Jiang, Junpeng Yue, Hao Luo, et al.
Lecture notes in computer science (2024), pp. 1-17
Closed Access

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