Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Explainable robotic systems: understanding goal-driven actions in a reinforcement learning scenario
Francisco Cruz, Richard Dazeley, Peter Vamplew, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 25, pp. 18113-18130
Open Access | Times Cited: 12

Showing 12 citing articles:

A survey on artificial intelligence assurance
Feras A. Batarseh, Laura E. Beane Freeman, Chih‐Hao Huang
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 84
Explainable reinforcement learning for broad-XAI: a conceptual framework and survey
Richard Dazeley, Peter Vamplew, Francisco Cruz
Neural Computing and Applications (2023) Vol. 35, Iss. 23, pp. 16893-16916
Open Access | Times Cited: 21
Unmanned Aerial Vehicle Control through Domain-Based Automatic Speech Recognition
Ruben Contreras, Angel Ayala, Francisco Cruz
Computers (2020) Vol. 9, Iss. 3, pp. 75-75
Open Access | Times Cited: 24
Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation
Mehran Taghian, Shotaro Miwa, Yoshihiro Mitsuka, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109131-109131
Open Access | Times Cited: 2
A conceptual framework for externally-influenced agents: an assisted reinforcement learning review
Adam Bignold, Francisco Cruz, Matthew E. Taylor, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 4, pp. 3621-3644
Closed Access | Times Cited: 17
Moody Learners - Explaining Competitive Behaviour of Reinforcement Learning Agents
Pablo Barros, Ana Tanevska, Francisco Cruz, et al.
(2020), pp. 1-8
Open Access | Times Cited: 10
Decentralized Multi-Agent Control of a Manipulator in Continuous Task Learning
Asad Ali Shahid, Jorge Said Vidal Sesin, Damjan Pecioski, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10227-10227
Open Access | Times Cited: 9
Incorporating rivalry in reinforcement learning for a competitive game
Pablo Barros, Özge Nilay Yalçın, Ana Tanevska, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 23, pp. 16739-16752
Open Access | Times Cited: 3
Modifying RL Policies with Imagined Actions: How Predictable Policies Can Enable Users to Perform Novel Tasks
Isaac Sheidlower, Reuben M. Aronson, Elaine Schaertl Short
Proceedings of the AAAI Symposium Series (2024) Vol. 2, Iss. 1, pp. 192-197
Open Access
CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems
Sagar Patel, Sangeetha Abdu Jyothi, Nina Narodytska
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 14563-14571
Open Access
Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task
Angel Ayala, Francisco Cruz, Bruno Fernandes, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 3
Moody Learners -- Explaining Competitive Behaviour of Reinforcement Learning Agents
Pablo Barros, Ana Tanevska, Francisco Cruz, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1
Page 1

Scroll to top