Function approximation - ppt download

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Last updated 17 junho 2024

The state space problem in model-free RL Number of states quickly becomes too large Even for trivial applications Learning becomes too dependent on right choice of exploration parameters Explore-exploit tradeoffs become harder to solve State space = 765 unique states
They work well for specific applications. But not as general models of learning to be in the world. Much remains to be learned about. Internal representations. Processes controlling internal representations. Embodied priors. How embodied priors interact with processes controlling internal representations. We will start talking about how this is currently being done computationally beginning next class. No class Feb 1.

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Spatial Approximation between Secretin Residue Five and the Third Extracellular Loop of Its Receptor Provides New Insight into the Molecular Basis of Natural Agonist Binding