YoVDO

Decision Making Under Uncertainty with POMDPs.jl

Offered By: JuliaAcademy

Tags

Julia Courses Deep Learning Courses Markov Decision Processes Courses Deep Reinforcement Learning Courses State Estimation Courses Imitation Learning Courses

Course Description

Overview

How to build and solve decision making problems using the POMDPs.jl ecosystem of packages


Syllabus

Decision Making Under Uncertainty using POMDPs.jl
- Introduction to POMDPs.jl

MDP's
- MDPs: Markov Decision Processes

POMDPs
- POMDPs: Partially Observable Markov Decision Processes

State Estimation and Particle Filtering
- State Estimation using Particle Filtering

Approximate Methods
- Approximate Methods

Deep Reinforcement Learning
- Deep Reinforcement Learning

Imitation Learning
- Imitation Learning

Black-Box Validation
- Black-Box Validation


Taught by

Robert Moss

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera
Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera
Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera
Leading Ambitious Teaching and Learning
Microsoft via edX