| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Qiliang He, Jancy Ling Liu, Lou Eschapasse, Elizabeth H Beveridge, Thackery I Brow. A comparison of reinforcement learning models of human spatial navigation. Scientific reports. vol 12. issue 1. 2022-08-17. PMID:35978035. |
reinforcement learning (rl) models have been influential in characterizing human learning and decision making, but few studies apply them to characterizing human spatial navigation and even fewer systematically compare rl models under different navigation requirements. |
2022-08-17 |
2023-08-14 |
human |
| Lincoln Herbert Teixeira, Árpád Huszá. Reinforcement Learning Environment for Advanced Vehicular Ad Hoc Networks Communication Systems. Sensors (Basel, Switzerland). vol 22. issue 13. 2022-07-09. PMID:35808228. |
the obtained results show significant improvement in the routes' strength compared with traditional communication protocols and even with other rl tools when only one parameter is used for decision making. |
2022-07-09 |
2023-08-14 |
Not clear |
| Kenta Kamikokuryo, Takumi Haga, Gentiane Venture, Vincent Hernande. Adversarial Autoencoder and Multi-Armed Bandit for Dynamic Difficulty Adjustment in Immersive Virtual Reality for Rehabilitation: Application to Hand Movement. Sensors (Basel, Switzerland). vol 22. issue 12. 2022-06-24. PMID:35746280. |
this study proposes to use an efficient tool for high-dimensional data by considering a deep learning approach for dimensionality reduction of hand movement recorded using a wireless remote control embedded with the oculus rift s. this latent space is created as a visualization tool also for use in a reinforcement learning (rl) algorithm employed to provide a decision-making framework. |
2022-06-24 |
2023-08-14 |
Not clear |
| Shengpu Tang, Jenna Wien. Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings. Proceedings of machine learning research. vol 149. 2022-06-15. PMID:35702420. |
reinforcement learning (rl) can be used to learn treatment policies and aid decision making in healthcare. |
2022-06-15 |
2023-08-14 |
Not clear |
| Stefano Palminteri, Maël Lebreto. The computational roots of positivity and confirmation biases in reinforcement learning. Trends in cognitive sciences. 2022-06-06. PMID:35662490. |
we discuss the normative and neurobiological roots of these rl biases and their position within the greater picture of behavioral decision-making theories. |
2022-06-06 |
2023-08-14 |
Not clear |
| Ahmad Suhaimi, Amos W H Lim, Xin Wei Chia, Chunyue Li, Hiroshi Makin. Representation learning in the artificial and biological neural networks underlying sensorimotor integration. Science advances. vol 8. issue 22. 2022-06-03. PMID:35658033. |
the integration of deep learning and theories of reinforcement learning (rl) is a promising avenue to explore novel hypotheses on reward-based learning and decision-making in humans and other animals. |
2022-06-03 |
2023-08-14 |
mouse |
| Milena Rmus, Samuel D McDougle, Anne G E Collin. The Role of Executive Function in Shaping Reinforcement Learning. Current opinion in behavioral sciences. vol 38. 2022-02-23. PMID:35194556. |
however, the neural computations that are explained by rl algorithms fall short of explaining many sophisticated aspects of human decision making, including the generalization of learned information, one-shot learning, and the synthesis of task information in complex environments.. |
2022-02-23 |
2023-08-13 |
human |
| Zhenhan Huang, Fumihide Tanak. MSPM: A modularized and scalable multi-agent reinforcement learning-based system for financial portfolio management. PloS one. vol 17. issue 2. 2022-02-18. PMID:35180235. |
financial portfolio management (pm) is one of the most applicable problems in reinforcement learning (rl) owing to its sequential decision-making nature. |
2022-02-18 |
2023-08-13 |
Not clear |
| Justin Weltz, Alex Volfovsky, Eric B Labe. Reinforcement Learning Methods in Public Health. Clinical therapeutics. 2022-01-21. PMID:35058056. |
reinforcement learning (rl) is the subfield of machine learning focused on optimal sequential decision making under uncertainty. |
2022-01-21 |
2023-08-13 |
Not clear |
| Justin Weltz, Alex Volfovsky, Eric B Labe. Reinforcement Learning Methods in Public Health. Clinical therapeutics. 2022-01-21. PMID:35058056. |
rl represents a holistic approach to decision making that evaluates the impact of every action (ie, data collection, allocation of resources, and treatment assignment) in terms of short-term and long-term utility to stakeholders. |
2022-01-21 |
2023-08-13 |
Not clear |
| Lennart Bramlage, Aurelio Cortes. Generalized attention-weighted reinforcement learning. Neural networks : the official journal of the International Neural Network Society. vol 145. 2021-12-07. PMID:34710787. |
together, these results demonstrate the broader validity of the awrl framework in complex task scenarios, and illustrate the benefits of a deeper integration between neuroscience-derived models and rl for decision making in machine learning. |
2021-12-07 |
2023-08-13 |
Not clear |
| Yejin Kim, Jessika Suescun, Mya C Schiess, Xiaoqian Jian. Computational medication regimen for Parkinson's disease using reinforcement learning. Scientific reports. vol 11. issue 1. 2021-10-22. PMID:33927277. |
our objective is to derive a sequential decision-making rule on the combination of medications to minimize motor symptoms using reinforcement learning (rl). |
2021-10-22 |
2023-08-13 |
Not clear |
| Darrell A Worthy, W Todd Maddo. A Comparison Model of Reinforcement-Learning and Win-Stay-Lose-Shift Decision-Making Processes: A Tribute to W.K. Estes. Journal of mathematical psychology. vol 59. 2021-10-21. PMID:25214675. |
fits to data from three different decision-making experiments suggest that the augmentations to the wsls and rl models lead to a better account of decision-making behavior. |
2021-10-21 |
2023-08-13 |
human |
| Darrell A Worthy, W Todd Maddo. A Comparison Model of Reinforcement-Learning and Win-Stay-Lose-Shift Decision-Making Processes: A Tribute to W.K. Estes. Journal of mathematical psychology. vol 59. 2021-10-21. PMID:25214675. |
our results also support the assertion that human participants weigh the output of wsls and rl processes during decision-making. |
2021-10-21 |
2023-08-13 |
human |
| Yichuan Zhang, Yixing Lan, Qiang Fang, Xin Xu, Junxiang Li, Yujun Zen. Efficient Reinforcement Learning from Demonstration via Bayesian Network-Based Knowledge Extraction. Computational intelligence and neuroscience. vol 2021. 2021-10-05. PMID:34603434. |
reinforcement learning from demonstration (rlfd) is considered to be a promising approach to improve reinforcement learning (rl) by leveraging expert demonstrations as the additional decision-making guidance. |
2021-10-05 |
2023-08-13 |
human |
| Christina X Ji, Michael Oberst, Sanjat Kanjilal, David Sonta. Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. vol 2021. 2021-09-10. PMID:34457145. |
reinforcement learning (rl) has the potential to significantly improve clinical decision making. |
2021-09-10 |
2023-08-13 |
Not clear |
| Miguel Tejedor, Ashenafi Zebene Woldaregay, Fred Godtliebse. Reinforcement learning application in diabetes blood glucose control: A systematic review. Artificial intelligence in medicine. vol 104. 2021-08-18. PMID:32499004. |
reinforcement learning (rl) is a computational approach to understanding and automating goal-directed learning and decision-making. |
2021-08-18 |
2023-08-13 |
Not clear |
| Lei Zhang, Lukas Lengersdorff, Nace Mikus, Jan Gläscher, Claus Lam. Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices. Social cognitive and affective neuroscience. vol 15. issue 6. 2021-06-24. PMID:32608484. |
here, we present a comprehensive framework for the examination of (social) decision-making with the simple rescorla-wagner rl model. |
2021-06-24 |
2023-08-13 |
Not clear |
| Eshaan S Iyer, Megan A Kairiss, Adrian Liu, A Ross Otto, Rosemary C Bago. Probing relationships between reinforcement learning and simple behavioral strategies to understand probabilistic reward learning. Journal of neuroscience methods. vol 341. 2021-06-21. PMID:32417532. |
reinforcement learning (rl) and win stay/lose shift model accounts of decision making are both widely used to describe how individuals learn about and interact with rewarding environments. |
2021-06-21 |
2023-08-13 |
Not clear |
| Allison M Letkiewicz, Amy L Cochran, Josh M Cisle. Frontoparietal network activity during model-based reinforcement learning updates is reduced among adolescents with severe sexual abuse. Journal of psychiatric research. 2021-06-12. PMID:33199053. |
although these rl processes differentially predict decision-making behavior, most research has examined the impact of trauma on model-free rl. |
2021-06-12 |
2023-08-13 |
human |