An IoT based Smart Irrigation Management System using Reinforcement Learning modeled through a Markov Decision Process.
Luis Miguel Samaniego CampoverdeMauro TropeaFloriano De RangoPublished in: DS-RT (2021)
Keyphrases
- management system
- reinforcement learning
- optimal policy
- reward function
- water resources
- markov decision process
- state space
- function approximation
- markov decision processes
- partially observable
- control policy
- reinforcement learning algorithms
- quality control
- decision support system
- dynamic programming
- temporal difference
- decision problems
- supervised learning
- learning problems
- infinite horizon
- action selection
- decision making
- partially observable markov decision processes
- optimal control
- inverse reinforcement learning
- model free
- learning classifier systems
- data mining
- multi agent
- learning algorithm