Enterprises across industries, from energy to finance, use optimization models to plan complex operations like supply chains and logistics. These models work by defining three elements: the choices ...
Smart Maze solver Using Reinforcement Learning (RL) aims to develop an agent capable of solving a maze-environment by using its learning in an RL algorithm specifically, Q-learning Algorithm a typical ...
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Why this maze competition comes down to milliseconds
At first glance, it looks like a simple maze. In reality, it’s one of the most demanding precision competitions in the world. Competitors memorize layouts, perfect movements, and train for years to ...
Abstract: Error correction (EC) models play a crucial role in refining Automatic Speech Recognition (ASR) transcriptions, enhancing the readability and quality of ...
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