2021 China Automation Congress (CAC) 2021
DOI: 10.1109/cac53003.2021.9728624
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Motion Simulation of Flying Quadruped Robot Based on Deep Reinforcement Learning

Abstract: Due to its property of not requiring prior knowledge of the environment, reinforcement learning has significant potential for quantum control problems. In this work, we investigate the effectiveness of continuous control policies based on deep deterministic policy gradient. To solve the sparse reward signal in quantum learning control problems, we propose an auxiliary task-based deep reinforcement learning (AT-DRL) for quantum control. In particular, we first design a guided reward function based on the fideli… Show more

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