Before revision: In this work we solve for partially observable reinforcement learning (RL) environments by adding recurrency. We focus on partially observable robotic assembly tasks in the continuous action domain , with force/torque sensing being the only observation.
After revision: In this work we propose a learning approach to high-precision robotic assembly problems in the continuous action domain , with force/torque sensing being the only observation.