Reinforcement learning and dynamic motion primitives
Multi-agent algorithms in Reinforcement Learning are a close approximation of real-world scenarios where there is a complex interplay between competition and collaboration between agents existing in an unpredictable environment. MultiAgent POsthumous Credit Assignment (MA-POCA) is a novel algorithm...
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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2021
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Online Access: | https://hdl.handle.net/10356/150858 |