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Showing 1 to 2 of 2 for “"Meta Reinforcement Learning"”.
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Derivative-Free Meta-Blackbox Optimization on Manifold
… applications. This thesis presents the first meta-learning framework that leverages the shared structure among sequential tasks to improve the computational efficiency and sample complexity of derivative-free optimization. Based on the observation that most practical high-dimensional functions …
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Active heterogeneous graph neural networks with per-step meta-q-learning
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01