Generalizing Bayesian Optimization with Decision-theoretic Entropies.
Willie NeiswangerLantao YuShengjia ZhaoChenlin MengStefano ErmonPublished in: NeurIPS (2022)
Keyphrases
- decision theoretic
- decision theory
- planning under uncertainty
- expected utility
- optimization algorithm
- decision models
- optimization problems
- global optimization
- plan recognition
- optimization methods
- optimization process
- neural network
- maximum likelihood
- bayesian estimation
- dec pomdps
- bayesian learning
- posterior distribution
- combinatorial optimization
- multi agent systems
- decision making