Reinforcement_learning_tutorial_with_demo

Reinforcement_learning_tutorial_with_demo

omerbsezer

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

801 Stars
193 Forks
1 Watchers
Jupyter Notebook Language
100 SrcLog Score
Cost to Build
$854
Market Value
$1.9K

Growth over time

14 data points  ·  2021-07-01 → 2026-11-01
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What is the omerbsezer/Reinforcement_learning_tutorial_with_demo GitHub project? Description: "Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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