Planning, Learning and Intelligent Decision Making

This repository contains work developed in the Planning, Learning and Intelligent Decision Making master's course @ IST.

Authors	Github
Duarte Almeida	https://github.com/Duarte-Almeida
Martim Santos	https://github.com/martimfasantos

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Lab assignments comprised two parts:

• A theoretical part, prepared at home before the lab. It generally consists of solving a small exercise, the solution of which is then used in the lab.
• A practical part, completed in the lab and then submitted by the end of the corresponding lab session, together with the corresponding homework.

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Lab 1 - Markov Chains (MCs)

Statement, HW report & Lab

Grade Lab: 8.85 / 10
Grade HW: 10 / 10

Lab 2 - Markov decision problems (MDPs)

Statement, HW report & Lab

Grade Lab: 10 / 10
Grade HW: 8.5 / 10

Lab 3 - Partially observable Markov decision problems (POMDPs)

Statement, HW report & Lab

Grade Lab: 8.95 / 10
Grade HW: 10 / 10

Lab 4 - Reinforcement Learning (RL)

Statement, HW report & Lab

Grade Lab: 10 / 10
Grade HW: 10 / 10