Browsing by Subject "Deep Reinforcement Learning"
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This paper contains research into efficient autonomous navigation algorithms powered by deep reinforcement learning. These algorithms enable a mobile robot to perform waypoint tracking in an indoor environment. The robot ...
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(2020-03-26)When neural networks (NeuralNets) are implemented in hardware, their weights need to be stored in memory devices. As noise accumulates in the stored weights, the NeuralNet’s performance will degrade. This paper studies how ...
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(2022-07-21)Deep Reinforcement Learning (DRL) algorithms are defined with fully continuous or discrete action spaces. These algorithms are widely used in autonomous driving due to their ability to cope with unseen environments. However, ...