Paulescu/hands-on-rl
hands-on-rl
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
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Paulescu
Paulescu • individual
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Created
Oct 26, 2021
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README Summary
This is a comprehensive free course designed to teach Reinforcement Learning from beginner to professional level. The repository contains hands-on tutorials and practical examples using Jupyter notebooks to help learners master RL concepts and implementations.
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Reinforcement LearningQ-LearningDeep Q-NetworksPolicy Gradient MethodsActor-Critic MethodsMulti-Armed BanditsMarkov Decision ProcessesTemporal Difference LearningMonte Carlo MethodsValue Function Approximation
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Reinforcement LearningQ-LearningDeep Q-NetworksPolicy Gradient MethodsActor-Critic MethodsMulti-Armed BanditsMarkov Decision ProcessesTemporal Difference LearningMonte Carlo MethodsValue Function ApproximationEducational AILocal DevelopmentSelf-hostedInteractive RL LearningAlgorithm Implementation TrainingTabularAction SpacesRoboticsFinanceEnvironment StatesInteractive LearningJupyter EnvironmentPractical RL Skill DevelopmentEducationGamingReinforcement Learning EducationPractical AI TrainingMulti-Agent Reinforcement LearningJupyter Notebook
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Updated 2 years ago
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beta- Quality
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Jupyter Notebook100.0%
Timeline
- Project created
- Oct 26, 2021
- Forked
- Feb 24, 2026
- Your last push
- 2 years ago
- Upstream last push
- 2 years ago
- Tracked since
- Mar 14, 2024
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