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

Episode 6, demystifying model-free prediction, MC methods, TD Learning, and various properties of both algorithms in RL problems.
Episode 5, demystifying exploration-exploitation dilemma, greedy, ε-greedy, and UCB algorithms in the multi-armed bandit setting.
Episode 4, demystifying dynamic programming, policy evaluation, policy iteration, and value iteration with code examples.