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Code for the paper "Neural MMO: A Massively Multiagent Game..."
... training and emergent dynamics across large populations. The project is built to test scalability in multi-agent reinforcement learning, with features such as procedurally generated terrain and configurable game mechanics. While the original release has since been succeeded by newer versions maintained outside OpenAI, it remains a landmark framework for studying large-scale agent interactions in complex environments.
Sandbox simulation game in which the player shapes terrain using weather effects. Developed as an educational tool to teach elementary and middle school students about the mechanics of erosion.