Leveraging Engineering Expertise in Deep Reinforcement Learning
Deep reinforcement learning has been used to craft robust and performant control policies for legged robotics. However, the engineering processes to create these policies are often plagued by long training times that slow down engineering iteration. This thesis suggests that model-based controllers...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/147435 |