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ORCIDJoseph Suarez
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2020 – today
- 2025
[i13]Daphne Cornelisse, Aarav Pandya, Kevin Joseph, Joseph Suárez, Eugene Vinitsky:
Building reliable sim driving agents by scaling self-play. CoRR abs/2502.14706 (2025)- 2024
- [i12]Kyoung Whan Choe, Ryan Sullivan, Joseph Suárez:
Massively Multiagent Minigames for Training Generalist Agents. CoRR abs/2406.05071 (2024) - [i11]Joseph Suarez:
PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice. CoRR abs/2406.12905 (2024) - 2023
- [c7]Yangkun Chen, Joseph Suarez, Junjie Zhang, Chenghui Yu, Bo Wu, Hanmo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola:
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO. AAMAS 2023: 2490-2492 - [c6]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, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu:
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. NeurIPS 2023 - [c5]Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez:
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks. NeurIPS 2023 - [i10]Yangkun Chen, Joseph Suarez, Junjie Zhang, Chenghui Yu, Bo Wu, Hanmo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola:
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO. CoRR abs/2308.15802 (2023) - [i9]Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez:
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks. CoRR abs/2310.17805 (2023) - [i8]Enhong Liu, Joseph Suarez, Chenhui You, Bo Wu, Bingcheng Chen, Jun Hu, Jiaxin Chen, Xiaolong Zhu, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Weijun Hong, Rui Du, Yibing Zhang, Qinwen Wang, Xinhang Li, Zheng Yuan, Xiang Li, Yuejia Huang, Kun Zhang, Hanhui Yang, Shiqi Tang, Phillip Isola:
The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade. CoRR abs/2311.03707 (2023) - [i7]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, Louis Castricato, Kirsty You, Yuhao Jiang, Qimai Li
, Jiaxin Chen, Xiaolong Zhu:
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. CoRR abs/2311.03736 (2023) - 2021
- [c4]Enhong Liu, Joseph Suarez, Chenhui You, Bo Wu, Bingcheng Chen, Jun Hu, Jiaxin Chen, Xiaolong Zhu, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Weijun Hong, Rui Du, Yibing Zhang, Qinwen Wang, Xinhang Li, Zheng Yuan, Xiang Li, Yuejia Huang, Kun Zhang, Hanhui Yang, Shiqi Tang, Phillip Isola:
The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade. NeurIPS (Competition and Demos) 2021: 18-34 - [c3]Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch, Phillip Isola:
The Neural MMO Platform for Massively Multiagent Research. NeurIPS Datasets and Benchmarks 2021 - [i6]Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch, Phillip Isola:
The Neural MMO Platform for Massively Multiagent Research. CoRR abs/2110.07594 (2021) - 2020
- [c2]Joseph Suarez, Yilun Du, Igor Mordatch, Phillip Isola:
Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks. AAMAS 2020: 2020-2022 - [i5]Joseph Suarez, Yilun Du, Igor Mordatch, Phillip Isola:
Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks. CoRR abs/2001.12004 (2020)
2010 – 2019
- 2019
- [i4]Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch:
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents. CoRR abs/1903.00784 (2019) - [i3]Joseph Suarez:
GAN You Do the GAN GAN? CoRR abs/1904.00724 (2019) - 2018
- [i2]Joseph Suarez, Justin Johnson, Li Fei-Fei:
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer. CoRR abs/1803.11361 (2018) - 2017
- [c1]Joseph Suarez:
Language Modeling with Recurrent Highway Hypernetworks. NIPS 2017: 3267-3276 - [i1]Joseph Suarez, Clare Zhu:
Effective Approaches to Batch Parallelization for Dynamic Neural Network Architectures. CoRR abs/1707.02402 (2017)
Coauthor Index
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