Exploring Decentralized Multi Agent Motion Planning
Exploring Decentralized Multi Agent Motion Planning reveals several interesting facts.
- https://arxiv.org/abs/1609.07845.
- Illustrates the plan found for 30 agents in 49x49 map. The plan was computed in ~2 seconds. More details can be found at: ...
- Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning
- Decentralized Multi-agent Path Planning for Time-varying Disjoint Networks
- ABSTRACT Effective communication is key to successful,
In-Depth Information on Decentralized Multi Agent Motion Planning
Initial results from a Short presentation of the paper: J. Kottinger, S. Shaull Almagor, and M. Lahijanian, “Explainable Paper Link: https://ieeexplore.ieee.org/document/9387125. Online Control Barrier Functions for Decentralized Multi-Agent Navigation
Learning a
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