… reinforcement learning for robot collision avoidance can be made safe and reliable at both
training and test time. Reinforcement learning … learn an uncertainty-aware collision avoidance …

… Collision avoidance algorithms are essential for safe and efficient robot operation among
pedestrians. This work proposes using deep reinforcement (RL) learning … collision avoidance …

… To learn the optimal collision avoidance policy, we propose a … policy gradient based
reinforcement learning algorithm trained … We demonstrate that the collision avoidance policy …

… real-time implementable) interaction rule by learning a value function that implicitly encodes
… collision avoidance algorithm based on a novel application of deep reinforcement learning, (…

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

… 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 …

… In this paper, a deep reinforcement learning (DRL)-based collision avoidance method is …
making stage of collision avoidance, which determines whether the avoidance is necessary, …

… to follow the well-known reciprocal collision avoidance strategy, which can optimize deep …
a decentralized reinforcement learning based policy for multi-UAV collision avoidance …

… deep-reinforcement-learning (DRL)-based algorithms for avoiding collisions while saving …
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 …