Active Bayesian perception and reinforcement learning.
Nathan F. LeporaUriel Martinez-HernandezGiovanni PezzuloTony J. PrescottPublished in: IROS (2013)
Keyphrases
- reinforcement learning
- active exploration
- dynamic programming
- data driven
- function approximation
- learning algorithm
- bayesian networks
- bayesian estimation
- state space
- temporal difference
- model free
- machine intelligence
- selective perception
- autonomous learning
- reinforcement learning algorithms
- database
- posterior probability
- learning process
- neural network
- learning problems
- optimal policy
- active databases
- supervised learning
- bayesian learning
- prior knowledge
- learning agent
- function approximators
- sensory inputs
- bayesian analysis
- multi agent reinforcement learning
- bayesian decision
- real time