Nobuyuki Yoshikawa

Safe multi-agent motion planning via filtered reinforcement learning

We study the problem of safe multi-agent motion planning in cluttered environments. Existing multi-agent reinforcement learning-based motion planners only provide approximate safety enforcement. We propose a safe reinforcement learning algorithm that leverages single-agent reinforcement learning for…