But it's at least interesting, and different from anything I've done before. I have no reason to think this approach will be any good.
St petersburg board game rules how to#
I have some ideas about how to encode the moves in a given state as feature vectors, hopefully it'll work. My plan is to collect traces from a bunch of real games, and train a neural net over that data. I think all of these are reasonable, but they're a lot of work. Estimate the next cards based on a probability distribution and assign scores appropriately.Perform a series of BFS searches while cheating (looking at the deck configuration), but instead of looking at the real deck configuration, get the remaining cards and create a few possible deck configurations.Encode my current strategy into the AI and try to beat that manually.I thought about different ways that I could improve the AI. This AI has lots of problems, but provides a good benchmark for new strategies for an inexperienced player. The AI doesn't cheat (peak at the next unrevealed cards) but it does take into account changing turns. The AI idea is really basic: just BFS and a state evaluation function based on points and money. Of course, I quickly found the state size to be too large to analyze, but that didn't stop me from writing an AI for it. This board game would be pretty easy to analyze, I thought, because it doesn't have a lot of randomness (only the token distribution and the shuffling of the decks at the beginning of the game). This game consists of acquiring cards of different categories from a common pool, earning income and points using those cards, with the goal of maximizing the total number of points by the end of the game. One of the games we played was Saint Petersburg.
![st petersburg board game rules st petersburg board game rules](https://cf.geekdo-images.com/oxogZn9hWIzRD4U_RA--kg__opengraph_letterbox/img/pUKe839U15siEgAUa8rI0_lpQGk=/fit-in/1200x630/filters:fill(auto):strip_icc()/pic106675.jpg)
My friends and I have been playing board games together pretty regularly for about 5 years, and we've tried quite a few.