In EdgeAI embedded devices that exploit reinforcement learning (RL). it is essential to reduce the number of actions taken by the agent in the real world and minimize the compute-intensive policies learning process. Convolutional autoencoders (AEs) has demonstrated great improvement for speeding up the policy learning time when attached to the RL agent. by compressing the high dimensi... https://www.roneverhart.com/HP-Pavilion-15-eg1053cl-15-6-FHD-Touch-Intel-Core-i5-1235U-3-30-GHz-Intel-Iris-Xe-Graphics-12-GB-DDR4-RAM-512-GB-SSD-/