Path Planning methods for the autonomous control of Unmanned Aerial Vehicle (UAV) swarms are on the rise due to the numerous advantages they bring. There are increasingly more scenarios where autonomous control of multiple UAVs is required. Most of these scenarios involve a large number of obstacles...

This paper presents a novel incremental algorithm that combines Q-learning, a well-known dynamic programming-based reinforcement learning method, with the TD(A) return estimation process, which is typically used in actor-critic learning, another well-known dynamic programming-based reinforcement lea...

In this paper, we first suggest a new type of Markov model extended by Watkins' action replay process. The new Markov model is called multi-action replay process (MARP), which is a process designed for multiagent coordination on the basis of reward values, state transition probabilities, and equilib...