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Robust Orientation Correction Control for a Falling Quadruped with an Active Spine
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Machine Learning for Optimizing Cognitive Radar Waveforms
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Assisting Learning Through Student Mastery Metrics
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Learning Modular Robotic Control via Reinforcement Learning using Attention based Global State Prediction
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Decentralized Multi-Agent Reinforcement Learning for Collective Transport
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Optimal Control and Reinforcement Learning for Stochastic Systems under Temporal Logic Specifications
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Deep Reinforcement Learning for Intelligent Frontier Ranking in Search-and-rescue Scenarios
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Towards Model Based Conformal Ablation using Robotically Driven Interstitial Ultrasound
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A Reinforcement Learning Approach To Optimize the MLC Prefetcher Aggressiveness at Run-Time
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Deep Reinforcement Learning for GO AI
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