Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning

• URL: http://arxiv.org/abs/2508.12524v1
• Date: Sun, 17 Aug 2025 23:14:25 GMT
• Title: Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning
• Authors: Joseph Suárez, Kyoung Whan Choe, David Bloomin, Jianming Gao, Yunkun Li, Yao Feng, Saidinesh Pola, Kun Zhang, Yonghui Zhu, Nikhil Pinnaparaju, Hao Xiang Li, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Kirsty You, Bo Wu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Louis Castricato, Xiaolong Zhu, Phillip Isola,
• Abstract summary: The NeurIPS 2023 Neural MMO Competition attracted over 200 participants and submissions.<n>The top solution achieved a score 4x higher than our baseline within 8 hours of training on a single 4090 GPU.<n>We open-source everything relating to Neural MMO and the competition under the MIT license.
• Score: 37.676975085454124
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present the results of the NeurIPS 2023 Neural MMO Competition, which attracted over 200 participants and submissions. Participants trained goal-conditional policies that generalize to tasks, maps, and opponents never seen during training. The top solution achieved a score 4x higher than our baseline within 8 hours of training on a single 4090 GPU. We open-source everything relating to Neural MMO and the competition under the MIT license, including the policy weights and training code for our baseline and for the top submissions.

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