… with respect to ship collision avoidance are presented. In … of the deep reinforcement learning
based collision avoidance … deep reinforcement learning based collision avoidance method …

… This work seeks to address this issue through reinforcement learning – to offload the … -agent
collision avoidance algorithm based on a novel application of deep reinforcement learning, (…

… the collision risk. In this study, we proposed a collision avoidance method that quantitatively
assesses the collision risk and then generates an avoidance path. First, to assess the …

… of solving collision avoidance problems with the help of deep reinforcement learning in an
… to determine whether a deep reinforcement learning-based collision avoidance method is …

… Collision avoidance algorithms are essential for safe and efficient robot operation among
pedestrians. This work proposes using deep reinforcement … learns collision avoidance among a …

… and deep-reinforcement-learning (DRL)-based algorithms for avoiding collisions while …
The obtained results demonstrated the efficiency of these solutions for avoiding the collision …

… pedestrian collision avoidance based on deep reinforcement learning. A deep Q networN
(DQN) is designed to discover an optimal driving policy for pedestrian collision avoidance in …

… a proper loss function for training robust collision avoidance policies. To overcome these …
-stage deep reinforcement learning framework to learn the optimal collision avoidance policy …

… the collision avoidance strategy considering the injury severity are scant. Our study uses a
deep reinforcement … been attempted to be solved with deep reinforcement learning methods. …

… in order to compute the information needed for collision avoidance [3]. In this paper, the
collision avoidance problem is tackled with Deep Reinforcement Learning (DRL) techniques, …