Abstract: To improve the robustness and efficiency of consumer mobile robot navigation in complex indoor environments, this paper presents a deep reinforcement learning method named SAC-GHULSTM. The ...
Abstract: Considering mixed traffic flow with complex road conditions characterized by variable curvature, this paper proposes a scenario-specific connected and automated vehicles (CAVs) platoon ...
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