Agentes Autónomos e Sistemas Multi-Agente

The AASMA curriculum focuses on Game Theory and some Reinforcement Learning, making it a good pairing with PADI (with some overlapping content).

The theoretical lectures, taught by Professors Rui Prada and Manuel Lopes, are okay. In those lectures, teachers go through the slides and solve some exercises, whose solutions are not provided on Fénix. None of the material is particularly difficult to understand, and the course provides a solid introduction to the field.

The project is open-ended, which introduces considerable variability. You can go from implementing simple grid...

The project is open-ended (you propose it yourself following certain rules set by the professor). This means you can choose whatever difficulty level you want. Since I wasn't very interested in the course, I chose a simple AI topic (basically adapted the lab exercises to an existing environment). Overall, adapting the environment took the most work because it had bugs, but honestly, it was one of the less demanding projects I've done. I got a 17/20 on the project.

For Professor Sardinha's lectures, I only attended about 50% due to scheduling issues. He doesn't add much beyond what's in the...

I took this course with Professor Rui Henriques (god bless his soul), but unfortunately he's not teaching it this year, so my feedback might be completely off.

The subject is super fun and interesting! It gives you a really cool perspective on how different types of autonomous agents work, interact, and make their decisions. The lectures are generally fun, with some probability and statictics, but nothing too complex.

The real gold of this course is the project: You can choose any topic you want, then you have to implement it and write a report about it. You can either make a simple single...