Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks.
Xinyang WuMohamed El-ShamoutyChristof NitscheMarco F. HuberPublished in: ICRA (2023)
Keyphrases
- neural network
- reinforcement learning
- decision theory
- dempster shafer
- function approximation
- function approximators
- pattern recognition
- partial observability
- artificial neural networks
- fuzzy logic
- reinforcement learning algorithms
- learning capabilities
- bayesian learning
- state space
- neural network model
- multi agent
- uncertain data
- learning algorithm
- optimal policy
- back propagation
- associative memory
- neural nets
- feed forward
- bayesian analysis
- bayesian networks
- learning problems
- action selection
- expected utility
- dynamic programming
- maximum likelihood
- fault diagnosis
- robotic control
- markov decision process
- robust optimization
- possibility theory
- multilayer perceptron
- belief functions
- fuzzy systems
- posterior probability