Partially Observable Monte Carlo Planning algorithm (POMCP)
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Updated
May 7, 2026 - Python
Partially Observable Monte Carlo Planning algorithm (POMCP)
A terminal-UI maze game written in Go that pits seven AI agents with seven fundamentally different decision algorithms against a procedurally-generated 120×80 maze under partial observability.
Contains the frontend and backend needed to execute the web app used to find anomalous behaviour in the decisions of a planning algorithm: POMCP
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