Stimulus sampling as an exploration mechanism for fast reinforcement learning.
Boris B. VladimirskiyEleni VasilakiRobert UrbanczikWalter SennPublished in: Biol. Cybern. (2009)
Keyphrases
- reinforcement learning
- exploration exploitation
- active exploration
- action selection
- exploration strategy
- model based reinforcement learning
- function approximation
- state space
- monte carlo
- reinforcement learning algorithms
- autonomous learning
- machine learning
- exploration exploitation tradeoff
- sampling strategies
- control policy
- learning mechanism
- multi agent systems
- selection mechanism
- model free
- learning problems
- markov decision processes
- computational model
- optimal policy
- robotic control
- multi agent
- learning algorithm