Видео ютуба по тегу Function Approximation

UofT RL Course - Lecture 39: Learning Action-Value via Function Approximation
UofT RL Course - Lecture 39: Learning Action-Value via Function Approximation
UofT RL Course - Lecture 36: Flexibility of RL via Function Approximation
UofT RL Course - Lecture 36: Flexibility of RL via Function Approximation
Taylor Series Approximation of exponential function #algybra #maths #tangent #taylorseries
Taylor Series Approximation of exponential function #algybra #maths #tangent #taylorseries
Taylor Series Approximation rational function #algybra #taylorseries #maths
Taylor Series Approximation rational function #algybra #taylorseries #maths
Approximation Methods: Non-linear Value Functions, GPU Acceleration, and Policy Gradient Methods
Approximation Methods: Non-linear Value Functions, GPU Acceleration, and Policy Gradient Methods
Neural Networks as Function Approximators | Universal Approximation Theorem #neuralnetworks #ai #ml
Neural Networks as Function Approximators | Universal Approximation Theorem #neuralnetworks #ai #ml
Taylor Series of logarithmic function #TaylorSeries #MathShorts #Logarithms #STEM#algybra #maths
Taylor Series of logarithmic function #TaylorSeries #MathShorts #Logarithms #STEM#algybra #maths
How Taylor series builds Gaussian Function step by step! 🔍📈 #algybra #maths
How Taylor series builds Gaussian Function step by step! 🔍📈 #algybra #maths
Numerical Integration using Simpson 1/3 Rule Approximation Method
Numerical Integration using Simpson 1/3 Rule Approximation Method
Numerical Integration using Trapezoid Rule Approximation Method
Numerical Integration using Trapezoid Rule Approximation Method
Probability Mass Function (PMF) | Explained with Examples
Probability Mass Function (PMF) | Explained with Examples
Linear Approximation and Differentials in Calculus | Tangent Line Approximations
Linear Approximation and Differentials in Calculus | Tangent Line Approximations
Lec 49 Analysis of Limiting Dynamics in Q-Learning with Function Approximation
Lec 49 Analysis of Limiting Dynamics in Q-Learning with Function Approximation
Lec 48 Q-Learning with Linear Function Approximation under \epsilon-Greedy Exploration
Lec 48 Q-Learning with Linear Function Approximation under \epsilon-Greedy Exploration
Lec 47 Q-Learning with Linear Function Approximation — A Unified Switching Systems Perspective
Lec 47 Q-Learning with Linear Function Approximation — A Unified Switching Systems Perspective
Sum series integral - Solve f(x)=2x-1 1+2+3+4+5+... through successive approximation calculus -16
Sum series integral - Solve f(x)=2x-1 1+2+3+4+5+... through successive approximation calculus -16
UofT RL Course - Lecture 35: Using Function Approximation in RL
UofT RL Course - Lecture 35: Using Function Approximation in RL
Sum series integral - Solve f(x)=2x-1 1+3+5+7+... through successive approximation calculus -15
Sum series integral - Solve f(x)=2x-1 1+3+5+7+... through successive approximation calculus -15
Best Approximation in Inner Product Spaces via Orthonormal Sequences
Best Approximation in Inner Product Spaces via Orthonormal Sequences
How to Approximate sin(x) with Legendre Polynomials — Up to Degree 2
How to Approximate sin(x) with Legendre Polynomials — Up to Degree 2