Collaborative Route Finding in Semantic Mazes

The following document describes the submission to the All The Agents Challenge of a system that inter-acts with the Autonomous Maze Environment Explorer Project (AMEE) 1 . Our solution is a collaborative route finding service for Semantically Defined Mazes. Agents with Reinforcement Learning tools are used to discover paths through the maze. These agents collaborate by sharing schematic knowledge of the maze (information about the maze layout). The code repository and video demonstration locations are detailed in the Online Resources section at the end of the document.