Language Modeling with Recurrent Highway Hypernetworks. - Joseph Suarez (NIPS, 2017)

Effective Approaches to Batch Parallelization for Dynamic Neural Network Architectures. - Joseph Suarez; Clare Zhu (CoRR, 2017)

DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer. - Joseph Suarez; Justin Johnson 001; Li Fei-Fei 001 (CoRR, 2018)

Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents. - Joseph Suarez; Yilun Du; Phillip Isola; Igor Mordatch (CoRR, 2019)

GAN You Do the GAN GAN? - Joseph Suarez (CoRR, 2019)

Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks. - Joseph Suarez; Yilun Du; Igor Mordatch; Phillip Isola (AAMAS, 2020)

The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade. - Enhong Liu; Joseph Suarez; Chenhui You; Bo Wu; Bingcheng Chen; Jun Hu 014; Jiaxin Chen; Xiaolong Zhu; Clare Zhu; Julian Togelius; Sharada P. Mohanty; Weijun Hong; et al. (NeurIPS (Competition and Demos), 2021)

The Neural MMO Platform for Massively Multiagent Research. - Joseph Suarez; Yilun Du; Clare Zhu; Igor Mordatch; Phillip Isola (NeurIPS Datasets and Benchmarks, 2021)

Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO. - Yangkun Chen; Joseph Suarez; Junjie Zhang; Chenghui Yu; Bo Wu; Hanmo Chen; Hengman Zhu; Rui Du; Shanliang Qian; Shuai Liu; Weijun Hong; Jinke He; et al. (AAMAS, 2023)

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. - Joseph Suarez; David Bloomin; Kyoung Whan Choe; Hao Xiang Li; Ryan Sullivan; Nishaanth Kanna; Daniel Scott; Rose S. Shuman; Herbie Bradley; Louis Castricato; Phillip Isola; Chenghui Yu; et al. (NeurIPS, 2023)

Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks. - Ryan Sullivan; Akarsh Kumar; Shengyi Huang; John P. Dickerson; Joseph Suarez (NeurIPS, 2023)

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. - Joseph Suárez; Phillip Isola; Kyoung Whan Choe; David Bloomin; Hao Xiang Li; Nikhil Pinnaparaju; Nishaanth Kanna; Daniel Scott; Ryan Sullivan; Rose S. Shuman; Lucas de Alcântara; Herbie Bradley; et al. (CoRR, 2023)

Massively Multiagent Minigames for Training Generalist Agents. - Kyoung Whan Choe; Ryan Sullivan; Joseph Suárez (CoRR, 2024)

PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice. - Joseph Suarez (CoRR, 2024)

Building reliable sim driving agents by scaling self-play. - Daphne Cornelisse; Aarav Pandya; Kevin Joseph; Joseph Suárez; Eugene Vinitsky (CoRR, 2025)

Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning. - 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; et al. (CoRR, 2025)