Keyphrases
- reinforcement learning
- belief state
- high dimensional
- partially observable markov decision processes
- sparse data
- sparse representation
- distributed constraint optimization
- neural network
- monte carlo
- dynamic programming
- markov decision processes
- sparse coding
- finite state
- multi agent systems
- compressive sensing
- partially observable
- search space
- compressed sensing
- planning under uncertainty
- belief space
- continuous state
- policy search