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Found 2 papers, 1 papers with code
Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning
Based on our experiments and comprehensive analysis of the proposed method, the results demonstrate that our proposed method enables AGV to more rapidly complete path planning tasks with continuous actions in our environments.
SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction
This method searches the sensitive region of trajectory prediction models and generates the adversarial trajectories by using the vehicle-following method and incorporating information about forthcoming trajectories.
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