This week, our team gave our System Level Design Review (SLDR) presentation! The event was an exciting experience for all of us as we gathered in the Reitz Union Rion Ballroom to network with the liaison engineers from other teams… Read More

This week, our team has been working hard on our System Level Design Review (SLDR) report. As we mentioned in a previous post, the SLDR is like our PDR but aims to be as specific as possible in describing our… Read More

This week, the IPPD teams met on Tuesday for Prototype Inspection Day (PID)! On PID, each team gets to present their current prototype live in front of a series of judges. These judges then give us feedback on how to… Read More

This week, our team has been busy preparing for Prototype Inspection Day (PID). Next Tuesday, we and the other IPPD teams will present our prototypes to several judges to receive feedback on our project. In our case, we will present… Read More

This week, our team met several times to develop plans for our upcoming prototype. One thing we needed to decide on was how to develop the simulation. This is important since our team already has a simulation for training reinforcement… Read More

This week, things have started to slow down a little since we finished our Preliminary Design Review (PDR). However, things will pick up again soon as we start working on our prototype. The purpose of our prototype will be to… Read More

This week, our team visited CAE at their Orlando, Florida office to give our presentation for our Preliminary Design Review (PDR)! Our PDR covers our initial research, requirements, specifications, design, and project plan. Its purpose is to explain to our… Read More

This week, our team met in the IPPD lab to play Catan! Given that our project involves training an AI model to Catan, we wanted to take a moment to play the game ourselves and understand its rules better. Catan… Read More

Our team is excited to use UF’s HiPerGator supercomputer for AI model training. For some of us, it’s our first experience with a supercomputer, so we’re proactively learning how to use it. The simulation we chose as our foundation previously… Read More

This week, our team has been “settling” on Catan as our game of choice. A lot of thought went behind our selection, including factors such as how popular and complex the game is. We decided to use a decision matrix… Read More

This week, our team has been researching various strategy games so we can figure out what game we will use for our AI model to learn. One game we considered was Stratego, a 2-player game where players can only see… Read More

This week, our team is working on identifying strategy games to have our machine learning model play. A few of our candidates are turn-based strategy board games like Risk, Stratego, or even 4-player chess (pictured). There are several factors to… Read More

Greetings! Welcome to Team 3’s space. We are excited to be a part of CAE’s IPPD group focused on developing a model capable of using a faster-than-real-time simulation and machine learning model to automatically generate winning strategies for complex tactical… Read More