Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 2 of 2 for “"Parametric Q-learning"”.
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Modifications of Q-learning to Optimize Dynamic Treatment Regimes
… DTR for an individual subject, among which Q-learning with linear regression is widely used due to its simplicity and ease of interpretation. This thesis discusses three important challenges that cause problems in the implementation of Q-learning and proposes multiple modifications of …
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Value function approximation architectures for neuro-dynamic programming
… errors. Next, we propose a novel parameterized Q-learning algorithm. Q-learning is a model-free method to compute the Q-function associated with an optimal policy, based on observations of states and actions. If the size of a state or a policy space is too large, Q-learning is often not very …