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.spidertattooz.com/Bolt-Action-San-Marco-Marines-Infantry-Section/