omerbsezer/Reinforcement_learning_tutorial_with_demo
A comprehensive reinforcement learning tutorial with implementations of classic and deep RL algorithms.
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This repository provides an educational overview of reinforcement learning concepts and algorithms, covering dynamic programming, Monte Carlo methods, temporal difference learning (SARSA, Q-learning), function approximation, policy gradient methods, and deep Q-networks (DQN), along with imitation learning and meta-learning topics.
Frequently asked
- What is omerbsezer/Reinforcement_learning_tutorial_with_demo?
- A comprehensive reinforcement learning tutorial with implementations of classic and deep RL algorithms.
- Is Reinforcement_learning_tutorial_with_demo open source?
- Yes — omerbsezer/Reinforcement_learning_tutorial_with_demo is an open-source project tracked on heatdrop.
- What language is Reinforcement_learning_tutorial_with_demo written in?
- omerbsezer/Reinforcement_learning_tutorial_with_demo is primarily written in Jupyter Notebook.
- How popular is Reinforcement_learning_tutorial_with_demo?
- omerbsezer/Reinforcement_learning_tutorial_with_demo has 801 stars on GitHub.
- Where can I find Reinforcement_learning_tutorial_with_demo?
- omerbsezer/Reinforcement_learning_tutorial_with_demo is on GitHub at https://github.com/omerbsezer/Reinforcement_learning_tutorial_with_demo.