The first systematic review of routine computing synthesizes literature into a taxonomy of temporal, behavioral, cognitive, and variability aspects, outlining applications in health, accessibility, and adaptive support along with persistent challenges.
Preiss* and Wolfgang H\"onig* and Gaurav S
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MA-AC-MPC extends actor-critic MPC to multi-agent reinforcement learning and reports higher success rates than MLP baselines in pursuit-evasion simulation and hardware drone-rover landing.
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Routine Computing: A Systematic Review of Sensing Daily Life Dimensions Towards Human-Centered Goals
The first systematic review of routine computing synthesizes literature into a taxonomy of temporal, behavioral, cognitive, and variability aspects, outlining applications in health, accessibility, and adaptive support along with persistent challenges.
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Merging model-based control with multi-agent reinforcement learning for multi-agent cooperative teaming strategies
MA-AC-MPC extends actor-critic MPC to multi-agent reinforcement learning and reports higher success rates than MLP baselines in pursuit-evasion simulation and hardware drone-rover landing.