Creating Reinforcement learning(RL) agents that can perform tasks in the real-world robotic systems remains a challenging task due to inconsistencies between the virtual-and the real-world. This is known as the “reality-gap” which hinders the performance of a RL agent trained in a virtual environment. The research describes the techniques used to train the models. genera... https://www.chiggate.com/satisfyer-pro-penguin-next-generation-on-sale/