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marcinbogdanski / repository
Collection of Deep Reinforcement Learning Jupyter Notebooks. Each notebook is self-contained and presents single algorithm. These include DP, MC, TD, SARSA, Q-Learning and DQNs.
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Implementations of various RL Algorithms
Contents:
Implementation of selected algorithms from the book. I tried to make code snippets minimal and faithful to the book.
A bit more in-depth explanation of selected concepts from David Sivler lectures and Sutton and Barto book.
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