Entropy Maximization in High Dimensional Multiagent State Spaces.
Ayhan Alp AydenizEnrico MarchesiniRobert Tyler LoftinKagan TumerPublished in: MRS (2023)
Keyphrases
- high dimensional
- multi agent
- state space
- multiagent systems
- mutual information
- low dimensional
- information theory
- information theoretic
- data points
- similarity search
- high dimensionality
- dimensionality reduction
- feature space
- reinforcement learning
- cooperative
- markov chain
- autonomous agents
- parameter space
- metric space
- sparse data
- input space
- variable selection
- high dimensional problems
- reinforcement learning algorithms
- high dimensional data
- objective function
- heuristic search
- multi dimensional
- manifold learning
- nearest neighbor
- high dimensional spaces
- shannon entropy
- minimum error
- multiple agents
- planning problems
- intelligent agents
- dynamic environments
- multi agent systems
- particle filter
- entropy measure
- dynamic programming