… reinforcement learning machinery to 2D gridbased path finding … we define the appropriate
machine learning problem (Section 2)… NN learns to plan paths, eg after the learning phase it is …

… robot path planning algorithm using Deep q learning combined … reinforcement learning for
path planning of a multi-robot system. In this case, reinforcement learning is a Deep q learning …

… deep reinforcement learning based robot path planning method is an effective end-toend
mobile robot path planning … using deep reinforcement learning is proposed in this paper. The …

… Path Planning with DDQN Algorithm In this paper, we achieve local path planning with deep
reinforcement learning … The accessible point nearest to the global path at the edge of the …

… However, to the best of our knowledge, the real-time path planning on multiple UAVs and …
path planning of multiple UAVs from the perspective of reinforcement learning [15–18]. Q-…

… This research explores the ability of reinforcement learning in the artificial potential field. …
BHPF and reinforcement learning we propose a black-hole potential field deep Q-learning (…

… Reinforcement Learning (DRL) based path planning for a mobile robot. Firstly, we evaluate
the related graphic search algorithms and Reinforcement Learning (RL) … global path planning …

… , and the path planning process with the reinforcement learning algorithm, to … path model
based on error strategy is established, and the optimal path is calculated through offline learning…

… For this study, we use the reinforcement learning method based on the reinforcement learning
… allocation to achieve a multi-robot continuation and expansion of learning training. In the …

… existing learning-based methods, we introduce a globally guided reinforcement learning …
We apply G2RL to solve the multi-robot path planning problem in a fully distributed reactive …