Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling.
Braden C. SoperPriyadip RayJose CadenaHao ChenRyan A. GoldhahnPublished in: IEEECONF (2022)
Keyphrases
- multi agent
- markov chain monte carlo
- posterior distribution
- posterior probability
- cooperative
- metropolis hastings
- proposal distribution
- probability distribution
- sequential monte carlo
- parameter estimation
- distributed constraint optimization
- sampling algorithm
- bayesian inference
- metropolis hastings algorithm
- simultaneous localization and mapping
- single agent
- multiagent systems
- bayesian learning
- multi agent systems
- sample size
- intelligent agents
- bayesian networks
- latent variables
- maximum likelihood
- sensor networks
- bayesian framework
- source localization
- dec pomdps
- particle filter
- random sampling
- monte carlo
- markov chain
- distributed systems
- probabilistic model
- real time
- object localization
- multiple agents
- hyperparameters
- particle filtering
- autonomous agents
- peer to peer
- decision theory
- planning under uncertainty
- approximate inference
- generative model
- reinforcement learning
- accurate localization
- maximum a posteriori