Q-SMASH: Q-Learning-based Self-Adaptation of Human-Centered Internet of Things.
Hamed RahimiIago Felipe TrentinFano RamparanyOlivier BoissierPublished in: WI/IAT (2021)
Keyphrases
- human centered
- ambient intelligence
- reinforcement learning
- function approximation
- hierarchical architecture
- cooperative
- ubiquitous computing
- state space
- multi agent
- stochastic approximation
- human robot interaction
- learning algorithm
- key technologies
- autonomic computing systems
- evolutionary programming
- physical world
- evolution strategy
- model free
- action selection
- rapid prototyping
- multimedia databases
- human centric
- mobile devices
- optimal policy
- reinforcement learning algorithms
- mobile computing
- music composition
- future internet
- data sets
- ambient intelligence systems
- data model
- dynamic programming
- intelligent systems