Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
CoRL, pp. 110-121, 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 sim2real -- a simulated environment is used t...More
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