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On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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0111 · Sep 201819922001200920182026
7 results for Gamification

Gamification and deep learning improve energy efficiency in smart buildings.

problem Lack of human engagement and motivation in smart building control.
method Modeling user interaction as a game, integrating IoT sensors and cyber-physical systems, using Deep Learning for forecasting.
result Improved energy efficiency through gamified smart building control.

Educational game on crypto investment helps students grasp macroeconomics.

problem Weak connections between microeconomic decision-making and macroeconomic concepts in classroom games.
method Design and study of an educational game on cryptocurrency investment.
result Engages students in understanding macroeconomics through incentivized individual investment decisions.

Optimizes pure exploration in linear bandits with a new algorithm.

problem Best-arm identification in linear stochastic bandits.
method Developed the first asymptotically optimal algorithm for fixed-confidence pure exploration in linear bandits.
result Avoids the pitfall of a simple but difficult instance and bypasses the need to solve an optimal design problem.

Graphical Lasso algorithm segments occupants' energy usage behaviors in HC-CP systems.

problem Improving sustainability and energy efficiency in HC-CP systems.
method Introduced a gamification framework and applied Graphical Lasso for energy usage segmentation.
result Characterized different energy usage behaviors in HC-CP systems.

Survey bridges quality control mechanisms and statistical models for crowdsourcing.

problem Crowdsourcing quality control issues in machine learning systems.
method Unified frameworks for quality control mechanisms and statistical models.
result Taxonomies and future directions for quality control research.

Proposes a game-theoretic framework to motivate energy-efficient behavior in smart buildings.

problem Improving energy efficiency in smart building infrastructure through occupant behavior.
method Introduces a novel game-theoretic framework with human interaction, incorporating utility learning and deep neural networks.
result Demonstrates highly accurate prediction of occupant energy resource usage and explainable decision-making.