pH-RL: A personalization architecture to bring reinforcement learning to health practice.
Ali el HassouniMark HoogendoornMarketa CiharovaAnnet KleiboerKhadicha AmartiVesa MuhonenHeleen RiperA. E. EibenPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- function approximation
- learning capabilities
- reinforcement learning algorithms
- multi agent
- model free
- real time
- state space
- optimal policy
- markov decision processes
- learning algorithm
- health care
- transfer learning
- management system
- control problems
- dynamic programming
- software architecture
- temporal difference
- optimal control
- learning agent
- rl algorithms
- autonomous learning
- control policy
- recommender systems
- context aware
- direct policy search
- multi agent reinforcement learning
- reinforcement learning methods
- learning classifier systems
- supervised learning
- mobile robot
- learning process
- machine learning
- neural network