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 ...
Abstract: Autonomous door traversal for mobile manipulators poses significant challenges owing to environmental uncertainties and positioning errors that can hinder precise control of the end effector ...
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