2019
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
CoRL 2019
Manipulation and locomotion are closely related problems that are often studied in isolation. In this work, we study the problem of coordinating multiple mobile agents to exhibit manipulation behaviors using a reinforcement learning (RL) approach. Our method hinges on the use of hierarchical sim2rea