POMDPs: Partially Observable Markov Decision Processes | Decision Making Under Uncertainty POMDPs.jl скачать в хорошем качестве

POMDPs: Partially Observable Markov Decision Processes | Decision Making Under Uncertainty POMDPs.jl

Github: https://github.com/JuliaAcademy/Decis... Julia Academy course: https://juliaacademy.com/courses/deci... Decision Making Under Uncertainty using POMDPs.jl | Robert Moss For more info on the Julia Programming Language, follow us on Twitter:   / julialanguage   and consider sponsoring us on GitHub: https://github.com/sponsors/JuliaLang 0:00 Intro 0:11 POMDP definition 1:17 POMDP vs. MDP 1:59 Crying Baby POMDP 1:59 QuickPOMDP 2:51 POMDP solvers 3:20 Pluto notebook 3:58 Crying Baby problem 5:37 Crying Baby states, actions, and observations 6:32 Crying Baby transition function 7:55 Crying Baby observation function 8:57 Crying Baby reward function 10:08 Crying Baby discount 10:15 Crying Baby POMDP 10:42 Policies 11:58 Beliefs 13:10 Belief updating 16:04 Solutions (offline) 17:14 Alpha vectors 19:58 Solutions (online) 21:45 References