FareedKhan-dev/all-rl-algorithms
all-rl-algorithms
Implementation of all RL algorithms in a simpler way
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Mar 30, 2025
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This repository is a collection of Python implementations of various Reinforcement Learning (RL) algorithms. The *primary* goal is **educational**: to get a deep and intuitive understanding of how these algorithms work under the hood. 🧠 Due to the recent explosion in the AI domain especially Large Language Models, and many more applications it is important to understand core reinforcement learning algorithms.
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Actor-Critic MethodsDeep Q-NetworksMarkov Decision ProcessesMonte Carlo MethodsMulti-Armed BanditsPolicy Gradient MethodsQ-LearningReinforcement LearningTemporal Difference Learning
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Actor-Critic MethodsDeep Q-NetworksMarkov Decision ProcessesMonte Carlo MethodsMulti-Armed BanditsPolicy Gradient MethodsQ-LearningReinforcement LearningTemporal Difference LearningAI AgentsCheat SheetCurated ListData ScienceData VisualizationDeep LearningForkedJupyterMulti-AgentNumPyPlanning / CoTPythonPyTorchRoadmapTutorialVisualization
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- Project created
- Mar 30, 2025
- Forked
- Nov 4, 2025
- Your last push
- 9 months ago
- Upstream last push
- 9 months ago
- Tracked since
- Aug 29, 2025
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