A place where all AI-related topics are demystified.

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We blog about AI, Machine learning, Reinforcement learning, Data science, Mathematics, and tools used to build such systems

Reinforcement Learning

Reinforcement Learning Demystified: Model-Free Prediction Part 1.

Episode 6, demystifying model-free prediction, MC methods, TD Learning, and various properties of both algorithms in RL problems.
by Mohammad Ashraf
on Mar 5
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Reinforcement Learning

Reinforcement Learning: Exploration vs. Exploitation

Episode 5, demystifying exploration-exploitation dilemma, greedy, ε-greedy, and UCB algorithms in the multi-armed bandit setting.
by Mohammad Ashraf
on Feb 27
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Reinforcement Learning

Reinforcement Learning: Solving MDPs with Dynamic Programming

Episode 4, demystifying dynamic programming, policy evaluation, policy iteration, and value iteration with code examples.
by Mohammad Ashraf
on Feb 17
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