Bayesian Optimization Meets Laplace Approximation for Robotic Introspection.
Matthias HumtJongseok LeeRudolph TriebelPublished in: CoRR (2020)
Keyphrases
- expectation propagation
- monte carlo sampling
- bayesian inference
- global optimization
- real time
- optimization problems
- optimization algorithm
- optimization method
- bayesian decision
- robotic systems
- approximation algorithms
- combinatorial optimization
- multi objective
- evolutionary algorithm
- approximation error
- object manipulation
- optimization methods
- queueing networks
- decision theory
- optimization model
- efficient computation
- bayesian methods
- autonomous robots
- constrained optimization
- optimization process
- posterior probability
- closed form
- mobile robot
- bayesian networks
- genetic algorithm