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Reinforcement Learning (RL)! This repository is your hands-on guide to implementing RL algorithms, from Markov Decision Processes (MDPs) to advanced methods like PPO and DDPG. Build smart agents, learn the math behind policies, and experiment with real-world applications!

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shaheennabi/Reinforcement-or-Deep-Reinforcement-Learning-Practices-and-Mini-Projects

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Reinforcement-or-Deep-Reinforcement-Learning-Practices-and-Mini-Projects

this reinforcement learning series is inspired by google deepmind xucl rl youtube series. everything is covered according to the content taught by Research Scientist Hado van Hasselt, Diana Borsa, and Research Engineer Matteo Hessel

How to read this repo

This RL repo has two folders in every topic "theory" and "algorithms", in theory every topic is linked to the "SubStack" post, cause it's good for writing with visuals and code for every theory or algorithm in "algorithms folder"...

this repo is in progress...

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Reinforcement Learning (RL)! This repository is your hands-on guide to implementing RL algorithms, from Markov Decision Processes (MDPs) to advanced methods like PPO and DDPG. Build smart agents, learn the math behind policies, and experiment with real-world applications!

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