MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 680 MB
Genre: eLearning | Language: English
Users will be taken through a journey that starts by showing them the various algorithms that can be used for reward-based learning. The video describes and compares the range of model-based and model-free learning algorithms that constitute RL algorithms.
The primary aim is to learn how to create efficient, goal-oriented business policies, and how to evaluate and optimize those policies, primarily using the MDPtoolbox package in R. Finally, the video shows how to build actions, rewards, and punishments with a simulated annealing approach.
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