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1. MULTI-AGENT AND MARKET BASED DYNAMIC OPTIMIZATION AND ITS EXTENSIONS TO DISTRIBUTED SUPPLY CHAIN PROCUREMENT PLANNING PROBLEMS

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2. Ubran Computing with Mobility Data: a Unified Approach

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3. Maritime Navigation and Contact Avoidance through Reinforcement Learning

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4. Applying artificial intelligence to space communications networks: Cognitive real-time link layer adaptations through rapid orbit planning

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5. Atmospherically Aware Aircraft Guidance Using In Situ Observations

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6. Deep Reinforcement Learning for Traffic Signal Control

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7. Optimization of Central Pattern Generator Parameters in a Simulated Undulatory Fish Robot

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8. Real-time Spectral Prediction and Metacognition for Spectrum Sharing Radar

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9. Towards computationally efficient reinforcement learning frameworks for the design of cyber-physical systems

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10. Manufacturing Systems Modeling and Analysis

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