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5Th and 6Th by Subhashri C is a document available to read on EtoBox.

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The document demonstrates a genetic algorithm for optimizing item selection based on weight and value constraints, using a population-based approach with mutation and crossover techniques. It also illustrates a Q-learning algorithm to find the shortest path in a state space defined by a feasibility and reward matrix, employing a training method based on the Bellman equation. Both algorithms are implemented in Python, with visualizations for the genetic algorithm

Author
Subhashri C
Language
EN

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