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This paper addresses the critical challenge of explainability in Deep Reinforcement Learning (DRL) for continuous control tasks, which hinders deployment.
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FCPAgent addresses the challenge of long-horizon web agents going off track during multi-step web navigation tasks before ultimately failing.
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FlowLog addresses the well-known tradeoff in Datalog-based static analysis engines between efficiency and extensibility.
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This paper presents a novel approach to creating augmented-reality (AR) physics learning tools by leveraging generative AI, specifically large language.
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This paper addresses the challenge of epitaxially growing and stabilizing planar hexagonal germanium (Ge-2H), a metastable allotrope with promising.
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This paper presents an extensive laboratory spectroscopic characterization, theoretical quantum chemical calculations, and an astronomical search for the.
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This paper addresses the understudied question of how students choose between self-created and instructor-provided cheat sheets during exams, and how.
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This study constructs the first empirical taxonomy and longitudinal analysis of Reddit's bot ecosystem using a large dataset of 3,389 publicly identified.
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This paper addresses the long-standing limitations of traditional spaced repetition systems (SRS), which primarily reduce flashcard interactions to a.
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MicroZoom addresses the problem of synthesizing highly detailed gigapixel-resolution microscopic images from a single standard photograph and a sparse set.
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This paper addresses the fundamental question of when honest Bitcoin mining is rational from an incentive-compatibility perspective within proof-of-work.
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This paper addresses the challenge of digital media literacy in the age of generative AI and automated misinformation campaigns by designing and deploying.
