Deep reinforcement learning based navigation by goal-driven transformer
Notwithstanding the achievements in goal-driven navigation tasks, current approaches with the application of deep reinforcement learning are notably inefficient in data usage. A major cause of this inefficiency is the separation of goal information from the perceptual system, which is applied direct...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/180704 |