Keyphrases
- high dimensional
- monte carlo
- reinforcement learning
- stochastic optimization
- sparse data
- markov decision processes
- partially observable markov decision processes
- sparse representation
- distributed constraint optimization
- machine learning
- sparse matrix
- belief space
- stochastic models
- optimal policy
- stochastic model
- compressed sensing
- decision theoretic
- semi supervised
- dynamic programming
- continuous state
- dec pomdps
- feature selection