By Olivia Buchanan Faculty Mentor: Evan Coleman Abstract Reinforcement learning (RL) enables AI agents to solve complex problems through trial and error instead of using human-coded instructions. This project investigates how these agents perform when information about the world is hidden from them, a scenario that mimics real-life challenges such as a broken sensor. Specifically,…