Designing Deep Reinforcement Learning for Human Parameter Exploration.
Hugo ScurtoBavo Van KerrebroeckBaptiste CaramiauxFrédéric BevilacquaPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- active exploration
- guided exploration
- autonomous learning
- action selection
- exploration strategy
- exploration exploitation
- deep learning
- input parameters
- data sets
- function approximation
- learning problems
- human robot interaction
- human users
- human activities
- dynamical systems
- state space
- hidden markov models
- active learning
- evolutionary algorithm
- multi agent
- artificial intelligence
- neural network