Intelligent Formation Control using Deep Reinforcement Learning
In this thesis, deep reinforcement learning is applied to the problem of formation control to enhance performance. The current state-of-the-art formation control algorithms are often not adaptive and require a high degree of expertise to tune. By introducing reinforcement learning in combination wit...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Artificiell intelligens och integrerade datorsystem
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-152687 |