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Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller.

, , , , , , , and . CoRR, (2019)

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MAVBench: Micro Aerial Vehicle Benchmarking., , , , , , , and . CoRR, (2019)Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller., , , , , , , and . CoRR, (2019)Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation., , , , and . Mach. Learn., 110 (9): 2501-2540 (2021)2D feature tracking algorithm for motion analysis., and . Pattern Recognit., 28 (8): 1103-1126 (1995)Customizable FPGA OpenCL matrix multiply design template for deep neural networks., , , , , , , and . FPT, page 259-262. IEEE, (2017)The Role of Compute in Autonomous Aerial Vehicles., , , , , , , , , and . CoRR, (2019)QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning., , , , , , and . Trans. Mach. Learn. Res., (2022)Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots., , , , , , , , and . CoRR, (2021)Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles., , , , , and . ISPASS, page 162-174. IEEE, (2022)The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency., , , , , , , , , and . ACM Trans. Comput. Syst., 39 (1-4): 3:1-3:44 (2021)