A novel Q-learning algorithm based on improved whale optimization algorithm for path planning
by Ying Li, Hanyu Wang, Jiahao Fan, Yanyu Geng
Q-learning is a classical reinforcement learning algorithm and one of the most important methods of mobile robot path planning without a prior environmental model. Nevertheless, Q-learning is too simple when initializing Q-table and wastes too much time in the exploration process, causing a slow convergence speed. This paper proposes a new Q-learning algorithm called the Paired Whale Optimization Q-learning Algorithm (PWOQLA) which includes four improvements. Читать дальше...