Monte Carlo POMDP
From Infogalactic: the planetary knowledge core
Lua error in package.lua at line 80: module 'strict' not found. In the class of Markov decision process algorithms, the Monte Carlo POMDP (MC-POMDP) is the particle filter version for the partially observable Markov decision process (POMDP) algorithm. In MC-POMDP, particles filters are used to update and approximate the beliefs, and the algorithm is applicable to continuous valued states, actions, and measurements.[1]
References
- ↑ Lua error in package.lua at line 80: module 'strict' not found.
