Everything you need to know about model-free and model-based reinforcement learning

Jun24
by on June 24, 2022 at 4:00 pm
Posted In: Uncategorized


Reinforcement learning is one of the exciting branches of artificial intelligence. It plays an important role in game-playing AI systems, modern robots, chip-design systems, and other applications. There are many different types of reinforcement learning algorithms, but two main categories are “model-based” and “model-free” RL. They are both inspired by our understanding of learning in humans and animals. Nearly every book on reinforcement learning contains a chapter that explains the differences between model-free and model-based reinforcement learning. But seldom are the biological and evolutionary precedents discussed in books about reinforcement learning algorithms for computers. I found a very interesting explanation of model-free…

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What happens if we put a ‘sentient’ AI inside of a lab-grown brain?

Jun23
by on June 23, 2022 at 7:02 pm
Posted In: artificial intelligence


A team of scientists at the Max Planck Society recently published astounding new research indicating they’ve pushed the field of “organoids,” to a bold new frontier. Up front: Organoids are synthetic biological constructs that mimic human organs to various degrees. Scientists grow organoids by programming stem cell clusters. Essentially, they feed the clusters the necessary components to spark their growth, and then they employ a series of limiters to guide them into becoming the kind of organoid we want. The ultimate hope is that we’ll be able to grow organ analogs — synthetic liver or brain organoids, for example —…

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