Aufgaben Develop, train, and iterate on reinforcement learning policies for humanoid locomotion and manipulation Analyze training metrics and experiment results from simulation and real robots, identify issues, and propose follow-up actions Investigate sim-to-real gaps and develop approaches to improve the transfer of learned policies to real robots Develop machine learning solutions in Python using frameworks such as PyTorch, TensorFlow, or JAX ...
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