Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations.
Finale Doshi-VelezGeorge Dimitri KonidarisPublished in: CoRR (2013)
Keyphrases
- markov decision processes
- semi parametric
- regression model
- policy evaluation
- linear model
- regression problems
- state space
- finite state
- policy iteration
- least squares
- optimal policy
- density estimation
- reinforcement learning
- rainfall forecasting
- transition matrices
- dynamic programming
- statistical inference
- decision theoretic planning
- markov decision process
- parametric models
- latent variables
- infinite horizon
- constrained optimization
- cross validation
- gaussian process
- partially observable
- model selection
- average reward
- linear regression
- genetic programming
- average cost
- feature space
- neural network