/methodology/approach This work proposes a reinforcement learning framework based on digital twins. First, the authors used Unity3D to build a … simulation environment through the robot operating system. Then, the authors trained the reinforcement learning model in the … application of digital twins in reinforcement learning transfer. On the other hand, the experimental results also provide …

of manufacturing companies. Data-driven reinforcement learning (RL) showed compelling results in applications such as …

This paper presents the first large-scale application of deep reinforcement learning to optimize the placement of limit …-of-the-art deep reinforcement learning algorithms to several benchmarks. We find proximal policy optimization to reliably learn …