I never got the chance to show a working agent based on the Bayesian estimator for the enemy position in the PacMan capture-the-flag game. In the previous PacMan post, I wrote about merging a model of agent movements with the noisy measurements returned by the game to track the enemy agents across the maze. Clearly, [...]

As another scientific Python course is approaching, I’ve been brushing up my PacMan skills. I decided to give a try to a strategy I had been thinking on, which relies upon having a good estimate of the enemy’s position. I should remind the reader that in the PacMan capture-the-flag game, one team does not know [...]

At the beginning of September I’ve been invited to teach at a summer school about scientific programming. The whole experience has been really rewarding, but it was the student’s project that got me going: we had the students write artificial intelligence algorithms for the agents of a PacMan-like game, and organized a tournament for them [...]