Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning.
Noshaba CheemaLaura A. Frey-LawKourosh NaderiJaakko LehtinenPhilipp SlusallekPerttu HämäläinenPublished in: CHI (2020)
Keyphrases
- reinforcement learning
- function approximation
- human computer interaction
- infrared
- genetic algorithm
- model free
- human interaction
- learning problems
- search space
- multi agent
- dynamic programming
- supervised learning
- learning process
- video sequences
- information seeking
- case study
- information retrieval
- temporal difference
- sensory inputs
- autonomous learning