… We were intercstcd in asking: Docs model-based reinforcement learning still make sense
in … We also used the graphical simulator to train a reinforcement learning algoritlın, and ralı …

… path planning with dynamic obstacle avoidance method of the manipulator based on a deep
reinforcement learning algorithm soft actor-critic (SAC). To avoid the moving obstacle in the …

… conditioning in animal learning. We aim to develop a reinforcement learning system that will
… an indoor environment avoiding collisions with stationary or slow moving obstacles. This …

… , deep reinforcement learning is applied to the obstacle avoidance planning of robots, and
an automatic obstacle avoidance … By mapping the scenarios in the actual collision avoidance …

… avoidance. Furthermore, this research reviews publications … on dynamic obstacle avoidance
in reinforcement learning. … deep reinforcement learning for dynamic obstacle avoidance. …

… One of the most interesting approaches (which also makes the subject of this study) is
reinforcement learning (RL). RL allows a mobile robot to adapt its trajectory, no matter how …

… reinforcement learning-based obstacle avoidance driving method proposed in this study
involves forward and rotational velocity, which are continuous actions for obstacle avoidance …

… Current control methods using monocular images for UAV obstacle avoidance are heavily
… We propose a deep reinforcement learning based method for UAV obstacle avoidance (OA) …

… learn obstacle avoidance behavior by using either reinforcement learning or supervised
learning … is possible to employ supervised learning to reduce the search space of reinforcement …

… reinforcement learning scheme. … A reinforcement learning approach for the obstacle
avoidance task of navigation of mobile robots was developed. In general, reinforcement learning …