Energy Constrained Multi-Agent Reinforcement Learning for Coverage Path Planning
Chenyang Zhao,Juan Liu,Suk-Un Yoon,Xinde Li,Heqing Li,Zhentong Zhang,Chenyang Zhao,Juan Liu,Suk-Un Yoon,Xinde Li,Heqing Li,Zhentong Zhang
For multi-agent area coverage path planning problem, existing researches regard it as a combination of Traveling Salesman Problem (TSP) and Coverage Path Planning (CPP). However, these approaches have disadvantages of poor observation ability in online phase and high computational cost in offline phase, making it difficult to be applied to energy-constrained Unmanned Aerial Vehicles (UAVs) and adj...
