2020
Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net
ICRA 2020poster
In many real-world multi-robot tasks, high-quality solutions often require a team of robots to perform asynchronous actions under decentralized control. Decentralized multi-agent reinforcement learning methods have difficulty learning decentralized policies because of the environment appearing to be…