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 4 of 4 for “"td-learning"”.
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Computational and Human Learning Models of Generalized Unsafety
… markers of generalized stress impair learning of safe cues in stressful environments. Based on this model, chronic problems inhibiting physiological arousal lead to a heightened perception of threat, which involves experiencing anxiety symptoms without any obvious precipitating …
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Dynamic Discrete Choice Estimation using Reinforcement Learning with Applications in Online Food Markets
… datasets. This thesis develops Reinforcement Learning (RL)-based estimation methods to improve the speed and scalability of DDC estimation. The second chapter establishes a theoretical foundation for integrating RL with DDC estimation, emphasizing the shared mathematical structure of Markov …
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Sample-efficient reinforcement learning
Reinforcement learning has been instrumental in the recent advances made by artificial intelligence agents in various domains. Most of these advances have been abetted by the availability of huge amounts of training data. But, in several practical applications such as those arising in wireless …
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Value learning through Bellman residuals and neural function approximations in deterministic systems
… Bellman residual minimization is the problem of learning values in a Markov Decision Process (MDP) by optimizing for the Bellman residuals directly without using any heuristic surrogates. Compared to the traditional Approximate Dynamic Programming (ADP) methods, this approach can have both …