Maximum Likelihood Constraint Inference from Stochastic Demonstrations.
David Livingston McPhersonKaylene C. StockingS. Shankar SastryPublished in: CCTA (2021)
Keyphrases
- maximum likelihood
- parameter learning
- expectation maximization
- parameter estimation
- em algorithm
- monte carlo
- chance constraints
- hyperparameters
- tree grammars
- likelihood function
- boltzmann machines
- variational bayes
- stochastic model
- inference engine
- bayesian inference
- inference process
- sum product
- efficient inference algorithms
- global constraints
- stochastic optimization
- neural network
- maximum a posteriori
- bayesian networks