Autonomous agent learning to play Atari Bowling by means of a reward function mirroring the game score and pixel inputs. Used Reinforcement Learning and Proximal Policy Optimization (PPO) for the training. Photo by Ella Christenson on Unsplash.
Java-based intelligent agent built to take part in the 2020 students' challenge of the Fundamentals of AI course held at the University of Bologna. Finished 2nd out of 11 teams. Photo by Randy Fath on Unsplash