Summary: Social isolation can potentially harm brain structure and cognitive performance, suggesting an increased risk of…
Summary: When it comes to rapid learning, the biological brain seems to have an edge over current AI technology.
Scientists worked with different models of reinforcement learning to understand the algorithms that the brain uses to learn. They found that the directed exploration used by animals makes learning more efficient and requires less experience, unlike artificial agents that explore randomly.
- The study suggests that animals’ directed exploration makes learning more efficient, which could help build better AI agents that can learn faster and require less experience.
- AI agents need a lot of experience to learn something and explore the environment thousands of times, whereas a real animal can learn an environment in less than ten minutes.
- The research findings emphasize the need for more efficient learning algorithms that can explain the behavior of animals in exploring and learning their spatial environment.
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