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Exploration vs Exploitation

One of the inherent problems an agent faces in some arbitrary environment is how to decide whether to explore and discover more of the world around it, or to rather...

Free Energy of Expected Future

The active inference framework proposes agents act to maximise the evidence for a biased generative model, whereas in reinforcement learning the agent seeks to maximise the expected discounted cumulative reward....

Introduction to Reinforcement Learning

But what is reinforcement learning? The field of reinforcement learning is at the crossroads between optimal control, animal psychology, artificial intelligence and game theory and has seen a surge of...

The Mathematics of Predictive Processing

Hello! Today we’ll be discussing the mathematics of predictive processing - a modern theory for how much of the processing of information is done in the brain. This is also...