Deep learning for humanlike character motion control in VR table tennis
In character motion control, reinforcement learning (RL) has provided new methods to create controllers for simulated characters. The latest research gives us a framework that creates controllers that are both humanlike and dynamic, which solves the initial problem of these RL based controllers....
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/157373 |