Robust Reinforcement Learning for Quadcopter Control
Sim-to-Reality transfer in Reinforcement Learning is a promising approach ofsolving costly exploration in real systems, but it comes with the generalizationproblem of transferring policies from simulators to real systems. This thesislooks at ideas presented by Robust Markov Decision Processes, which...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277631 |