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:

HRLB⌃2: A Reinforcement Learning Based Framework for Believable Bots
Christian Arzate Cruz, Jorge Adolfo Ramírez Uresti
Applied Sciences (2018) Vol. 8, Iss. 12, pp. 2453-2453
Open Access | Times Cited: 18

Showing 18 citing articles:

The Students’ Flow Experience With the Continuous Intention of Using Online English Platforms
Zhao Hong, Asif Khan
Frontiers in Psychology (2022) Vol. 12
Open Access | Times Cited: 37

A Survey on Interactive Reinforcement Learning
Christian Arzate Cruz, Takeo Igarashi
(2020), pp. 1195-1209
Closed Access | Times Cited: 57

Towards an Understanding of Character Believability
Rehaf Aljammaz, Noah Wardrip–Fruin, Michael Mateas
(2023), pp. 1-9
Open Access | Times Cited: 5

Obtaining Human Experience for Intelligent Dredger Control: A Reinforcement Learning Approach
Changyun Wei, Fusheng Ni, Xiujing Chen
Applied Sciences (2019) Vol. 9, Iss. 9, pp. 1769-1769
Open Access | Times Cited: 15

Recent Research on AI in Games
Boming Xia, Xiaozhen Ye, Adnan Omer Abuassba
2022 International Wireless Communications and Mobile Computing (IWCMC) (2020)
Closed Access | Times Cited: 14

A Survey on Interactive Reinforcement Learning: Design Principles and Open Challenges
Christian Arzate Cruz, Takeo Igarashi
arXiv (Cornell University) (2021)
Open Access | Times Cited: 12

Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games
Stephanie Milani, Arthur Juliani, Ida Momennejad, et al.
(2023), pp. 1-18
Open Access | Times Cited: 3

Play-style Identification through Deep Unsupervised Clustering of Trajectories
Branden Ingram, Benjamin Rosman, C. J. van Alten, et al.
2021 IEEE Conference on Games (CoG) (2022), pp. 393-400
Closed Access | Times Cited: 5

Creating an Affective Fighting Game AI System with Gamygdala
Kaori Yuda, Maxim Mozgovoy, Anna Danielewicz-Betz
2021 IEEE Conference on Games (CoG) (2019), pp. 1-4
Closed Access | Times Cited: 5

Training human-like bots with Imitation Learning based on provenance data
Lauro Víctor Ramos Cavadas, Esteban Clua, Troy Kohwalter, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 3

Game Data Visualization Using Artificial Intelligence Techniques
Srikanta Kumar Mohapatra, Prakash Kumar Sarangi, Premananda Sahu, et al.
Lecture notes in networks and systems (2023), pp. 351-360
Closed Access | Times Cited: 1

Generating Interpretable Play-Style Descriptions Through Deep Unsupervised Clustering of Trajectories
Branden Ingram, C. J. van Alten, Richard Klein, et al.
IEEE Transactions on Games (2023) Vol. 15, Iss. 4, pp. 507-516
Closed Access | Times Cited: 1

Using provenance data and imitation learning to train human-like bots
Lauro Víctor Ramos Cavadas, Sidney Araujo Melo, Troy Kohwalter, et al.
Entertainment Computing (2023) Vol. 48, pp. 100603-100603
Closed Access | Times Cited: 1

Creating Diverse Play-Style-Centric Agents through Behavioural Cloning
Branden Ingram, C. J. van Alten, Richard Klein, et al.
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2023) Vol. 19, Iss. 1, pp. 255-265
Open Access | Times Cited: 1

MarioMix
Christian Arzate Cruz, Takeo Igarashi
(2020), pp. 134-139
Closed Access | Times Cited: 2

Immersive Game Worlds: Using Deep Reinforcement Learning for Lifelike Non-Player Characters
Ali Servat, Hesam Sakian Mohamadi
(2023), pp. 1-5
Closed Access

Improved Action Prediction through Multiple Model Processing of Player Trajectories
Branden Ingram, Benjamin Rosman, C. J. van Alten, et al.
2021 IEEE Conference on Games (CoG) (2022), pp. 548-551
Closed Access

Interactive Reinforcement Learning for Autonomous Behavior Design
Christian Arzate Cruz, Takeo Igarashi
Human-computer interaction series (2021), pp. 345-375
Closed Access

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