RL - step5 - RLstep5

wy Lv3
  2023-07-23 07:58:45 2023-07-23 07:58:45 Created   2024-07-11 14:05:30 2024-07-11 14:05:30 Updated  193 Words  1 Mins  

Function approximation in reinforcement learning (And deep reinforcement learning)

Value Function Approximation

Agent state update

Classes of Function Approximation

(Deep) neural nets often perform quite well, and remain a popular choice

Gradient-based algorithms

Gradient Descent | Approximate Values By Stochastic Gradient Descent

Linear function approximation

Feature Vectors

Feature construction example’:’ coarse coding

…

Convergence and divergence

…

Batch Reinforcement Learning

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Deep reinforcement learning

…

DQN

Planning and models

Model-Based RL

Learn a model from experience

Plan value functions using the learned model.

Model

……….

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  • Author: wy

  • Created at
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  •           **Updated at
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  •       **Link:** https://yuuee-www.github.io/blog/2023/07/23/RL/step5/RLstep5/
  
  

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  • Title: RL - step5 - RLstep5
  • Author: wy
  • Created at : 2023-07-23 07:58:45
  • Updated at : 2024-07-11 14:05:30
  • Link: https://yue-ruby-w.site/2023/07/23/2023-07-23-RL-step5-RLstep5/
  • License: This work is licensed under CC BY-NC-SA 4.0.
On this page
RL - step5 - RLstep5
  1. Planning and models