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4 days ago · We design bi-modal reward functions to drive the robot to move towards the target destination. Abstract. Deep reinforcement learning-based (DRL-based) path ...
6 days ago · Data-driven distributed formation control of under-actuated unmanned surface vehicles with collision avoidance via model-based deep reinforcement learning.
4 days ago · UAV Path Planning and Obstacle Avoidance Based on Reinforcement Learning in 3D Environments. ... A Review on Intrusion Drone Target Detection Based on Deep ...
1 day ago · The study proposes a novel approach for boundary extraction using deep learning and presents a decision-making methodology to enable the UAV to select the most ...
6 days ago · Advancements in deep learning ... This adjustment is crucial for mitigating occlusion issues between the target and the UAV, and for maintaining safety by ...
Missing: Reinforcement | Show results with:Reinforcement
2 days ago · This study addresses the complexities of maritime area information collection, particularly in challenging sea environments, by introducing a multi-agent c.
6 days ago · ... UAV autonomous navigation and DQN reinforcement learning. These training ... UAV tracking of a pillar and obstacle avoidance. It is demonstrated that ...
6 days ago · Reinforcement Learning for Autonomous Control of. Articulated Vehicles in ... Deep Reinforcement Learning-Based Neighbor. Selection of a Cucker-Smale ...
5 days ago · In [8], Kooi and Babuška use a deep reinforcement learning approach with proximal policy optimization for the autonomous land- ing of a nano-drone on an ...
