# An Introduction to Reinforcement Learning – III :: Dynamic Programming Applications to the OpenAI Gym

Welcome back to my series of articles on Reinforcement Learning, where I stumble through and try and understand RL, and hopefully convey some useful knowledge along the way. In the first article, I talked about the basic terminology and concepts and ultimately introduced Markov Decision Processes (MDPs). In the second article in the series, the […]

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