Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens

Subjects: “…Artificial Intelligence & Machine Learning…”
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The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI

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Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Correction to: Spatiotemporal predictions of toxic urban plumes using deep learning

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Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

Subjects: “…Artificial Intelligence & Machine Learning…”
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A Hybrid Weighted Nearest Neighbour Classifier for Semi-Supervised Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation

Subjects: “…Artificial Intelligence & Machine Learning…”
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System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens

Subjects: “…Artificial Intelligence & Machine Learning…”
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Image quality improvement of liver ultrasound using unsupervised deep learning

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Advanced Input Shaping Control Based on Reinforcement Learning for SCARA Robot

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AI-Powered Defense: Leveraging Deep Learning for Effective Malware Detection

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Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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WindGym: A Reinforcement Learning Environment for Wind Farm Control

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COIN: Graph Contrastive Learning with Orthogonal Continuous Augmentation and Information Balance

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An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

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Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

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A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning

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Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

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