Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning.
Dexter R. R. ScobeeS. Shankar SastryPublished in: CoRR (2019)
Keyphrases
- maximum likelihood
- inverse reinforcement learning
- bayesian nonparametric
- mixture model
- partially observable environments
- expectation maximization
- em algorithm
- preference elicitation
- reward function
- parameter learning
- parameter estimation
- bayesian networks
- probabilistic inference
- variational inference
- decision making
- exponential family
- hyperparameters
- variational bayes
- multi agent
- gaussian process
- bayesian inference
- probabilistic model
- machine learning