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Reinforcement Learning Workflows for HW and Sim: Strategies to Bridge the Sim-to-Real Gap
This Tech Talk covers different approaches for using reinforcement learning (RL) to develop and deploy control policies on real hardware. Instead of focusing on algorithm details, it compares strategies for training and running policies, emphasizing tradeoffs in hardware safety, training time, and system performance. The demo uses a Quanser ...
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