Reinforcement learning in artificial intelligence and neurobiology
Reinforcement learning (RL), a computational framework rooted in behavioral psychology, enables agents to learn optimal actions through trial and error. It now powers intelligent systems across domains such as autonomous driving, robotics, and logistics, solving tasks once thought to require human c...
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| Main Authors: | Tursun Alkam, Andrew H Van Benschoten, Ebrahim Tarshizi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Neuroscience Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772528625000354 |
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