1 code implementation • 7 Nov 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
In this paper, we present the results of the NeurIPS-2022 Neural MMO Challenge, which attracted 500 participants and received over 1, 600 submissions.
no code implementations • 30 Aug 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
We present the results of the second Neural MMO challenge, hosted at IJCAI 2022, which received 1600+ submissions.
no code implementations • 14 Oct 2021 • Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch, Phillip Isola
Neural MMO is a computationally accessible research platform that combines large agent populations, long time horizons, open-ended tasks, and modular game systems.
no code implementations • 31 Jan 2020 • Joseph Suarez, Yilun Du, Igor Mordatch, Phillip Isola
We present Neural MMO, a massively multiagent game environment inspired by MMOs and discuss our progress on two more general challenges in multiagent systems engineering for AI research: distributed infrastructure and game IO.
no code implementations • ICLR 2019 • Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch
We demonstrate how this platform can be used to study behavior and learning in large populations of neural agents.
1 code implementation • 1 Apr 2019 • Joseph Suarez
In this work, we answer one of deep learning's most pressing questions: GAN you do the GAN GAN?
1 code implementation • 2 Mar 2019 • Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch
The emergence of complex life on Earth is often attributed to the arms race that ensued from a huge number of organisms all competing for finite resources.
no code implementations • ICLR 2018 • Joseph Suarez, Justin Johnson, Fei-Fei Li
We present a novel Dynamic Differentiable Reasoning (DDR) framework for jointly learning branching programs and the functions composing them; this resolves a significant nondifferentiability inhibiting recent dynamic architectures.
Ranked #8 on Visual Question Answering (VQA) on CLEVR
no code implementations • NeurIPS 2017 • Joseph Suarez
We present extensive experimental and theoretical support for the efficacy of recurrent highway networks (RHNs) and recurrent hypernetworks complimentary to the original works.
1 code implementation • 8 Jul 2017 • Joseph Suarez, Clare Zhu
We present a simple dynamic batching approach applicable to a large class of dynamic architectures that consistently yields speedups of over 10x.