This is an unified framework which can used by researchers to study multi-robot reinforcement learning in multi-robot systems. MultiRoboLearn builds an open-source framework for multi-robot systems.

The Multi-agent reinforcement learning algorithms can also identify when an agent or robot is doing something that doesn't contribute to the goal. Researchers tested their algorithms using simulated ...

Existing multi-agent coordination techniques are often fragile and vulnerable to anomalies such as agent attrition and communication disturbances, which are quite common in the real-world deployment ...

The optimization control of multi-robot systems based on Reinforcement Learning is the frontier field of Robotics and distributed Artificial Intelligence in recent years. Multi-robot systems have the ...

The code is based on gym and makes use of some of the scenarios from VMAS: Vectorized Multi-Agent Simulator. sampling scenario is reimplemented to fit the version used in the paper. Besides, the ...

Keywords: multi-agent reinforcement learning, game theory, deep learning, artificial intelligence, actor–critic algorithm, multi-agent, Stackelberg, decentralized learning schemes, reinforcement ...