Online state space generation by a growing self-organizing map and differential learning for reinforcement learning.
Akira NotsuKoji YasudaSeiki UbukataKatsuhiro HondaPublished in: Appl. Soft Comput. (2020)
Keyphrases
- reinforcement learning
- state space
- online learning
- learning algorithm
- learning process
- reinforcement learning methods
- active learning
- learning agent
- learning capabilities
- learning problems
- dynamical systems
- continuous state spaces
- reinforcement learning algorithms
- function approximation
- machine learning
- dynamic programming
- training data
- markov decision processes
- self organizing maps
- supervised learning
- partially observable
- markov decision process
- data analysis
- growing self organizing map