Deep reinforcement learning-based control model for automatic robot navigation
This report explores the application of deep reinforcement learning (DRL) for robot navigation without pre-constructed maps. Several mainstream DRL models, including DDPG, PPO, and TD3, were tested in a simple static obstacle environment, and TD3 was found to have the best performance. The report th...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/168320 |