Continuous state/action reinforcement learning: A growing self-organizing map approach.
Hesam MontazeriSajjad MoradiReza SafabakhshPublished in: Neurocomputing (2011)
Keyphrases
- continuous state
- reinforcement learning
- action space
- growing self organizing map
- continuous action
- state action
- policy search
- state space
- action selection
- continuous state and action spaces
- markov decision processes
- robot navigation
- control policies
- self organizing maps
- finite state
- real valued
- partially observable markov decision processes
- function approximation
- state dependent
- planning problems
- stochastic processes
- dynamic programming
- machine learning
- continuous state spaces
- reinforcement learning algorithms
- evaluation function
- optimal policy
- multi agent
- model free
- hidden markov models
- single agent
- temporal difference
- supervised learning