Computational theory-driven studies of reinforcement learning and decision-making in addiction: what have we learned?

Research article (Current Opinion in Behavioral Sciences, 2020) · cited 67× · AI/ML
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Computational theory-driven studies of reinforcement learning and decision-making in addiction: what have we learned?

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Computational theory-driven studies of reinforcement learning and decision-making in addiction: what have we learned? is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Computational theory-driven studies of reinforcement learning and decision-making in addiction: what have we learned?. Retrieved May 24, 2026, from https://4ort.xyz/entity/computational-theory-driven-studies-of-reinforcement-learning-and-decision-making-in-addiction-what-have-we-learned
MLA “Computational theory-driven studies of reinforcement learning and decision-making in addiction: what have we learned?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/computational-theory-driven-studies-of-reinforcement-learning-and-decision-making-in-addiction-what-have-we-learned.
BibTeX @misc{4ortxyz_computational-theory-driven-studies-of-reinforcement-learning-and-decision-making-in-addiction-what-have-we-learned_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Computational theory-driven studies of reinforcement learning and decision-making in addiction: what have we learned?}}, year = {2026}, url = {https://4ort.xyz/entity/computational-theory-driven-studies-of-reinforcement-learning-and-decision-making-in-addiction-what-have-we-learned}, note = {Accessed: 2026-05-24}}
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