M. Pourgholi

A Novel Deep Reinforcement Learning Approach for UAV Path Planning and Obstacle Avoidance for IoT Data Collection in Complex Urban Environment

An improved DRL algorithm, Dropout-based Prioritized Soft Actor-Critic (DPSAC), which integrates the Soft Actor-Critic (SAC) algorithm with Prioritized Experience Replay (PER) and the Dropout technique is proposed, and two innovative approaches are introduced to enhance the algorithm’s performance.