Complex Dynamics in Reinforcement Learning
Tim and Scott discuss the challenges of modeling systems with complex dynamics in the context of model-free reinforcement learning. They explore the importance of simulators in tackling problems where controllers struggle, highlighting the need for robustness and generalization in machine learning algorithms.In this clip
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Machine Learning Street Talk (MLST)
#045 Microsoft's Platform for Reinforcement Learning (Bonsai)
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