The Data Scientist's Odyssey

The organized chaos of all things data science, machine learning, and social science


Articles with tag “rl python dp MDP”

Markov Decision Processes - The Framework For Decision-Making Under Uncertainty

Markov Decision Processes are the essential process which we use in dynamic programming and thus reinforcement learning problems. It is an extension of Markov chains and provides the theoretical backbone for training an AI agent under iterative environments and rewards based off of decisions.

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About
Hello! Names Eddie. I finished my PhD in experimental fusion physics in 2019 and have been working as an operations research scientist for a few years. I enjoy all things science and hope to understand my world better by reading the best sources and summarizing the information to the best of my ability for all to enjoy. I hope you enjoy my blog!