The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade
It provides a benchmark for learning methods in complex multiagent environments, but is incremental as it builds on a previous competition.
The paper presents the NeurIPS-2022 Neural MMO Challenge, a competition with 500 participants and over 1,600 submissions, where agents from 16 populations survive in procedurally generated worlds by collecting resources and defeating opponents, introducing new elements like equipment and trading to pose robustness and generalization challenges.
In this paper, we present the results of the NeurIPS-2022 Neural MMO Challenge, which attracted 500 participants and received over 1,600 submissions. Like the previous IJCAI-2022 Neural MMO Challenge, it involved agents from 16 populations surviving in procedurally generated worlds by collecting resources and defeating opponents. This year's competition runs on the latest v1.6 Neural MMO, which introduces new equipment, combat, trading, and a better scoring system. These elements combine to pose additional robustness and generalization challenges not present in previous competitions. This paper summarizes the design and results of the challenge, explores the potential of this environment as a benchmark for learning methods, and presents some practical reinforcement learning training approaches for complex tasks with sparse rewards. Additionally, we have open-sourced our baselines, including environment wrappers, benchmarks, and visualization tools for future research.