Browsing posts in: Reinforcement Learning

Bellman Equations, Dynamic Programming and Reinforcement Learning (part 1)

Reinforcement learning has been on the radar of many, recently. It has proven its practical applications in a broad range of fields: from robotics through Go, chess, video games, chemical synthesis, down to online marketing. While being very popular, Reinforcement Learning seems to require much more time and dedication before one actually gets any goosebumps. Playing around with neural networks with pytorch for an hour for the first time will give an instant satisfaction and further motivation. Similar experience with RL is rather unlikely. If you are new to the field you are almost guaranteed to have a headache instead of fun while trying to break in.

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