Abstract: Ultra-low-power IoT devices at the extreme edge generate valuable data for machine learning applications, however, these devices face stringent limitations in processing power, memory, and ...
Abstract: Lifelong deep reinforcement learning (DRL) methods enable continuous adaptation to new tasks and retention of old knowledge. However, these methods often necessitate large model sizes, ...
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