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ML through Reinforcement Learning
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ML through Reinforcement Learning
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ML basic
ML basic
0. (First step)-(Last step)
1. Prerequisites
2. Set up new project, git info
3. numpy
4. matplotlib
5. Linear Regression
6. Logistic Regression
7. Perceptron, MLP, XOR
8. Neurol Networks
9. NN weights init
RL basic
RL basic
Why RL
When RL
Idea, Concepts and Terms
course page
RL vocabulary
MDP
Gymnasium (gym) api
MC vc TD updates
Sarsa, SarsaMax
Q-Learning
REINFORCE
Reward rules
Exploration/Exploitation
Cusom gym env with different reward rules (parabola example)
Real RL project
Must read articles
Top-k RL-engineer interview questions
How to hire good rl engineer? (For HR and job seekers)
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Posts by Arsenii Dublin
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