notesum.ai
Published at December 3Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement Learning
cs.RO
cs.LG
Released Date: December 3, 2024
Authors: Alejandro Mendoza Barrionuevo1, Samuel Yanes Luis1, Daniel Gutiérrez Reina, Sergio L. Toral Marín1
Aff.: 1University of Sevilla

| Algorithm | Scenario A | Scenario B | Average time of computation () | ||||||
| PTC | MSE | PTC | MSE | ||||||
| Mean | CI | Mean | CI | Mean | CI | Mean | CI | ||
| DDDQL | 95.83 | 0.94 | 0.0018 | 0.0004 | 85.28 | 4.00 | 0.0040 | 0.0009 | 19.24 |
| DDDQL + Greedy | 96.49 | 0.67 | 0.0026 | 0.0005 | 91.13 | 2.38 | 0.0032 | 0.0007 | 19.36 |
| Random Walker | 21.07 | 3.67 | 0.0272 | 0.0031 | 23.19 | 4.42 | 0.0308 | 0.0039 | 0.15 |
| Lawn Mower | 14.41 | 3.28 | 0.0316 | 0.0038 | 17.03 | 4.29 | 0.0330 | 0.0045 | 0.15 |
| PSO | 85.82 | 3.45 | 0.0066 | 0.0015 | 67.19 | 6.80 | 0.0176 | 0.0041 | 0.36 |
| Greedy | 93.56 | 3.66 | 0.0032 | 0.0019 | 72.11 | 7.10 | 0.0126 | 0.0037 | 1.33 |