E. Taylor Matthew

Cross-domain adaptive transfer reinforcement learning based on state-action correspondence

Despite the impressive success achieved in various domains, deep reinforcement learning (DRL) is still faced with the sample inefficiency problem. Transfer learning (TL), which leverages prior knowledge from different but related tasks to accelerate the target task learning, has emerged as a promis…