A state space approach to the parameterization of output regulating controllers.
Daniel T. WongBrandon HenceyPublished in: CDC/ECC (2011)
Keyphrases
- multi agent
- state space
- reinforcement learning
- state transition
- heuristic search
- dynamical systems
- markov chain
- optimal policy
- dynamic programming
- reinforcement learning algorithms
- particle filter
- control system
- search space
- markov decision processes
- planning problems
- state variables
- rbf network
- goal state
- action space
- database
- input data
- artificial intelligence
- data mining