Visualizing Multi-dimensional State Spaces Using Selective Abstraction.
Christian BurghardLuca BerardinelliPublished in: SEAA (2020)
Keyphrases
- multi dimensional
- state space
- state abstraction
- multi dimensional data
- markov chain
- high level
- parallel coordinates
- reinforcement learning
- index structure
- data abstraction
- interactive visualization
- range queries
- data cube
- multiple dimensions
- reinforcement learning algorithms
- orders of magnitude
- initial state
- sequential pattern mining
- markov decision processes
- heuristic search
- optimal policy
- dynamic programming
- high dimensional
- real time search algorithms
- database
- particle filter
- neural network