Decoupling Patrolling Tasks for Water Quality Monitoring: A Multi-Agent Deep Reinforcement Learning Approach.
Dame Seck DiopSamuel Yanes LuisManuel Perales EsteveSergio L. Toral MarínDaniel Gutiérrez-ReinaPublished in: IEEE Access (2024)
Keyphrases
- multi agent
- water quality
- reinforcement learning
- multi agent environments
- cooperative
- multi agent systems
- transfer learning
- reinforcement learning agents
- quality management
- multi agent reinforcement learning
- input output
- measured data
- real time
- function approximation
- suzhou river
- single agent
- multiple agents
- autonomous agents
- multiagent systems
- model free
- learning agents
- artificial neural networks
- water treatment
- neural network
- complex domains
- semi supervised
- state space
- training data