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- 1Curricular learning
- 1Deep Reinforcement Learning
- 1Explainability
- 1Graph Neural Networks
- 1Layer-wise Relevance Propagation
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Spring 2022
The repetitiveness and precision of manufacturing tasks has increased the need for robots in the automation of the manufacturing industry; however, the complex and varied nature of manufacturing production lines poses challenges in terms of applying the rule-based automation approach. This has...
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Fall 2022
The rise of Deep Learning (DL) and its assistance in learning complex feature representations significantly impacted Reinforcement Learning (RL). Deep Reinforcement Learning (DRL) made it possible to apply RL to complex real-world problems and even achieve human-level performance. One of these...
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Fall 2014
Advances in sensor technology and unmanned aircraft systems (UAS) have created the opportunity for low cost aerial monitoring. As much of this development is not tailored for remote sensing applications, a custom built UAS was used to test the feasibility of inexpensive monitoring over forested...