Mouhamad Alim Al-Amine

Shaping Gradient and Exploration-Noise Initialization, Not Reward Polarity, Determine Convergence in Deep Reinforcement Learning for Autonomous Quadrotor Navigation and Obstacle Avoidance

It is concluded that a continuous shaping gradient and the exploration-noise initialization, interacting with the curriculum advancement criterion, determine convergence in continuous control deep reinforcement learning, and that reward polarity by itself does not.