This AI Paper Introduces Neural MMO 2.0: Revolutionizing Reinforcement Learning with Flexible Task Systems and Procedural Generation

Researchers from MIT, CarperAI, and Parametrix.AI introduced Neural MMO 2.0, a massively multi-agent environment for reinforcement learning research, emphasizing a versatile task system enabling users to define diverse objectives and reward signals. The key enhancement involves challenging researchers to train agents capable of generalizing to unseen tasks, maps, and opponents. Version 2.0 is a complete […]

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