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:

Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021)
Peter Vamplew, Benjamin J. Smith, Johan Källström, et al.
Autonomous Agents and Multi-Agent Systems (2022) Vol. 36, Iss. 2
Open Access | Times Cited: 23

Showing 23 citing articles:

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: 23
Deep reinforcement learning for the direct optimization of gradient separations in liquid chromatography
Alexander Kensert, Pieter Libin, Gert Desmet, et al.
Journal of Chromatography A (2024) Vol. 1720, pp. 464768-464768
Closed Access | Times Cited: 6
Extending Evolution-Guided Policy Gradient Learning into the multi-objective domain
Adam Callaghan, Karl Mason, Patrick Mannion
Neurocomputing (2025), pp. 129991-129991
Open Access
From fair solutions to compromise solutions in multi-objective deep reinforcement learning
Junqi Qian, Umer Siddique, Guanbao Yu, et al.
Neural Computing and Applications (2025)
Closed Access
Enhancing RL Safety with Counterfactual LLM Reasoning
Dennis C. Gross, Helge Spieker
Lecture notes in computer science (2025), pp. 23-29
Closed Access
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework
Florian Felten, El-Ghazali Talbi, Grégoire Danoy
Journal of Artificial Intelligence Research (2024) Vol. 79, pp. 679-723
Open Access | Times Cited: 2
Beyond Preferences in AI Alignment
Tan Zhi‐Xuan, Micah Carroll, Matija Franklin, et al.
Philosophical Studies (2024)
Open Access | Times Cited: 2
COOL-MC: A Comprehensive Tool for Reinforcement Learning and Model Checking
Dennis C. Gross, Nils Jansen, Sebastian Junges, et al.
Lecture notes in computer science (2022), pp. 41-49
Closed Access | Times Cited: 10
Reinforcement Learning vs. Computational Intelligence: Comparing Service Management Approaches for the Cloud Continuum
Filippo Poltronieri, Cesare Stefanelli, Mauro Tortonesi, et al.
Future Internet (2023) Vol. 15, Iss. 11, pp. 359-359
Open Access | Times Cited: 5
Autonomous Underwater Manipulation: Current Trends in Dynamics, Control, Planning, Perception, and Future Directions
E. Morgan, Ignacio Carlucho, W. B. Ard, et al.
Current Robotics Reports (2022) Vol. 3, Iss. 4, pp. 187-198
Closed Access | Times Cited: 7
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking
Dennis Gross, Thiago Simão, Nils Jansen, et al.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence (2023), pp. 501-508
Open Access | Times Cited: 3
Neuroevolutionary diversity policy search for multi-objective reinforcement learning
Dan Zhou, Jiqing Du, Sachiyo Arai
Information Sciences (2023) Vol. 657, pp. 119932-119932
Open Access | Times Cited: 2
Learning state-action features for general game playing
Dennis J. N. J. Soemers
(2023)
Open Access | Times Cited: 2
Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning
Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, et al.
Autonomous Agents and Multi-Agent Systems (2023) Vol. 37, Iss. 2
Open Access | Times Cited: 2
SoK: A Comparison of Autonomous Penetration Testing Agents
R. W. Simon, Wim Mees
Proceedings of the 17th International Conference on Availability, Reliability and Security (2024), pp. 1-10
Closed Access
Turn-Based Multi-Agent Reinforcement Learning Model Checking
Dennis Gross
Proceedings of the 14th International Conference on Agents and Artificial Intelligence (2023), pp. 980-987
Open Access | Times Cited: 1
Model Checking for Adversarial Multi-Agent Reinforcement Learning with Reactive Defense Methods
Dennis C. Gross, Christoph Schmidl, Nils Jansen, et al.
Proceedings of the International Conference on Automated Planning and Scheduling (2023) Vol. 33, Iss. 1, pp. 162-170
Open Access | Times Cited: 1
Multi-Discounting Reinforcement Learning Based on Reward Decomposition
Pengbin Chen, Qi Liu, Yanjie Li, et al.
(2024)
Open Access
Nonlinear scalarization in stochastic multi-objective MDPs
Marc Vincent
Neural Computing and Applications (2024)
Closed Access
Fundamentos de Aprendizagem por Reforço
Rafael Jardim
(2023)
Closed Access
Striatal response to negative feedback in a stop signal task operates as a multi-value learning signal
Benjamin J. Smith, M. B. Lipsett, Danielle Cosme, et al.
Imaging Neuroscience (2023) Vol. 1, pp. 1-16
Open Access
What a difference a mind makes: Humans’ intuitive psychology as the output of difference detecting mechanisms, and its implications for psychological science.
David Pietraszewski
(2023)
Open Access
What’s Next if Reward is Enough? Insights for AGI from Animal Reinforcement Learning
Shreya Rajagopal
Journal of Artificial General Intelligence (2023) Vol. 14, Iss. 1, pp. 15-40
Open Access
Page 1

Scroll to top