AIRIS

AIRIS is a powerful approach to model based reinforcement learning. Through self-driven observation and experimentation, it is able to generate dynamic world models that it uses to formulate its own goals and plans of action. These goals can also be influenced by an outside source, such as a user, to direct AIRIS to the completion of specific tasks. AIRIS has demonstrated the ability to quickly, effectively, and completely autonomously learn about an environment it is operating in. Airis is being developed in 3 stage Stage 1 – Prototype Alpha (Complete) The Prototype Alpha of AIRIS was created using a video game development tool called  GameMaker: Studio . This allowed for the rapid development of test environments and ensured that the concept was general enough to not require specialized software or hardware. This prototype was fed semi-supervised information (sprite types and locations relative to it),  from the game engine for its inputs. This allowed for rapid debugging an...