Function approximation - ppt download
Por um escritor misterioso
Last updated 06 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.
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.
Approximation of Functions - ppt download
Chapter 9 Function Approximation - ppt download
FUNCTION APPROXIMATION
Boosting Electrocatalytic Urea Production via Promoting Asymmetric C–N Coupling
The wkb approximation
FUNCTION APPROXIMATION
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Function Approximation - ppt download
Reparametrization of the Colle–Salvetti formula
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