Joseph Suarez

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Language Modeling

Reinforcement Learning

Top Venues

Publications

Joseph Suarez
PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice. CoRR (2024)
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)
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 Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO. CoRR (2023)
Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks. CoRR (2023)
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 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)
Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks. NeurIPS (2023)
Enhong Liu, Joseph Suarez, Chenhui You, Bo Wu, Bingcheng Chen, Jun Hu, Jiaxin Chen, Xiaolong Zhu, Clare Zhu, Julian Togelius, Sharada 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 (2023)
Enhong Liu, Joseph Suarez, Chenhui You, Bo Wu, Bingcheng Chen, Jun Hu, Jiaxin Chen, Xiaolong Zhu, Clare Zhu, Julian Togelius, Sharada 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)
Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch, Phillip Isola
The Neural MMO Platform for Massively Multiagent Research. NeurIPS Datasets and Benchmarks (2021)
Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch, Phillip Isola
The Neural MMO Platform for Massively Multiagent Research. CoRR (2021)
Joseph Suarez, Yilun Du, Igor Mordatch, Phillip Isola
Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks. CoRR (2020)
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)
Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents. CoRR (2019)
Joseph Suarez
GAN You Do the GAN GAN? CoRR (2019)
Joseph Suarez, Justin Johnson, Li Fei-Fei
DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer. CoRR (2018)
Joseph Suarez
Language Modeling with Recurrent Highway Hypernetworks. NIPS (2017)
Joseph Suarez, Clare Zhu
Effective Approaches to Batch Parallelization for Dynamic Neural Network Architectures. CoRR (2017)