RL - step5 - RLstep5
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
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Convergence and divergence
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Batch Reinforcement Learning
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Deep reinforcement learning
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DQN
Planning and models
Model-Based RL
Learn a model from experience
Plan value functions using the learned model.
Model
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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.