Less Repetition, Less Energy Cost: A Reinforcement Learning-Based Multiagent Energy-Saving Autonomous Exploration System
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Multiagent autonomous exploration in unknown environments is both meaningful and challenging. Due to the constraint of a partially observable environment, the collaboration among agents is often inadequate, leading to increased energy consumption. Worse still,... ...
