Optimized State Space Grids for Abstractions.
Alexander WeberMatthias RunggerGunther ReissigPublished in: IEEE Trans. Autom. Control. (2017)
Keyphrases
- state space
- reinforcement learning
- heuristic search
- orders of magnitude
- state variables
- dynamic programming
- markov decision processes
- dynamical systems
- heuristic function
- particle filter
- optimal policy
- high level
- planning problems
- markov chain
- grid computing
- reinforcement learning algorithms
- grid points
- load balancing
- monte carlo
- neural network
- admissible heuristics
- markovian decision