Neuroscience and AI researchers tackle the same core problems: learning from reward, visual perception, and memory. The RLDM conference brings both fields together to work on these questions, though it's unclear which direction influences the other. Having both perspectives attack the same problems is simply more efficient.
Chapters
Thinking about the problem of how to learn from reward or how to make sense of things that you are looking at, the computer vision problem or how to implement memory. Well, these are just problems that show up in both AI and neuroscience. And historically, there's been back and forth conferences like rldm, reinforcement learning, and decision making, which are very interdisciplinary and involve researchers from neuroscience, computer science thinking about the same things. There's always debate about like, oh, was this idea from neuroscience, or did neuroscience get the idea from AI? I don't know. I haven't been alive for the entire history of neuroscience and AI. It seems like the kind of way that I think about it now is that it's an efficient use of intellectual resources for there to be some people who are just thinking about the same problem in both the neuroscience and AI context.