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Neural MMO: A Massively Multiagent Game Environment for Training and
  Evaluating Intelligent Agents

Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents

2 March 2019
Joseph Suárez
Yilun Du
Phillip Isola
Igor Mordatch
ArXivPDFHTML

Papers citing "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"

25 / 25 papers shown
Title
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning
Florian Rupp
Manuel Eberhardinger
Kai Eckert
58
2
0
24 Mar 2025
Massively Multiagent Minigames for Training Generalist Agents
Massively Multiagent Minigames for Training Generalist Agents
Kyoung Whan Choe
Ryan Sullivan
Joseph Suárez
AI4CE
34
0
0
07 Jun 2024
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
Hongxin Zhang
Zeyuan Wang
Qiushi Lyu
Zheyuan Zhang
Sunli Chen
Tianmin Shu
Yilun Du
Kwonjoon Lee
Yilun Du
Chuang Gan
48
12
0
16 Apr 2024
OpenSkill: A faster asymmetric multi-team, multiplayer rating system
OpenSkill: A faster asymmetric multi-team, multiplayer rating system
Vivek Joshy
22
5
0
09 Jan 2024
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like
  Training in a Multi-Agent Network Framework
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework
Arshia Soltani Moakhar
Mohammad Azizmalayeri
Hossein Mirzaei
M. T. Manzuri
M. Rohban
31
2
0
15 Oct 2023
Benchmarking Robustness and Generalization in Multi-Agent Systems: A
  Case Study on Neural MMO
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO
Yangkun Chen
Joseph Suárez
Junjie Zhang
Chenghui Yu
Bo Wu
...
Sharada Mohanty
Jiaxin Chen
Xiu Li
Xiaolong Zhu
Phillip Isola
32
0
0
30 Aug 2023
Biomaker CA: a Biome Maker project using Cellular Automata
Biomaker CA: a Biome Maker project using Cellular Automata
E. Randazzo
A. Mordvintsev
VGen
33
6
0
18 Jul 2023
Building Cooperative Embodied Agents Modularly with Large Language Models
Building Cooperative Embodied Agents Modularly with Large Language Models
Hongxin Zhang
Weihua Du
Jiaming Shan
Qinhong Zhou
Yilun Du
J. Tenenbaum
Tianmin Shu
Chuang Gan
LLMAG
LM&Ro
59
158
0
05 Jul 2023
Centralized control for multi-agent RL in a complex Real-Time-Strategy
  game
Centralized control for multi-agent RL in a complex Real-Time-Strategy game
Roger Creus Castanyer
21
2
0
25 Apr 2023
Learning to Learn Group Alignment: A Self-Tuning Credo Framework with
  Multiagent Teams
Learning to Learn Group Alignment: A Self-Tuning Credo Framework with Multiagent Teams
David Radke
Kyle Tilbury
24
1
0
14 Apr 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement
  Learning
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Benjamin Ellis
Jonathan Cook
S. Moalla
Mikayel Samvelyan
Mingfei Sun
Anuj Mahajan
Jakob N. Foerster
Shimon Whiteson
28
83
0
14 Dec 2022
Powderworld: A Platform for Understanding Generalization via Rich Task
  Distributions
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
Kevin Frans
Phillip Isola
OffRL
47
9
0
23 Nov 2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
Matteo Bettini
Ryan Kortvelesy
J. Blumenkamp
Amanda Prorok
21
36
0
07 Jul 2022
Collective Intelligence for Deep Learning: A Survey of Recent
  Developments
Collective Intelligence for Deep Learning: A Survey of Recent Developments
David R Ha
Yu Tang
AI4CE
31
69
0
29 Nov 2021
OPEn: An Open-ended Physics Environment for Learning Without a Task
OPEn: An Open-ended Physics Environment for Learning Without a Task
Chuang Gan
Abhishek Bhandwaldar
Antonio Torralba
J. Tenenbaum
Phillip Isola
LRM
133
4
0
13 Oct 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement
  Learning
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning
Shenao Zhang
Li Shen
Lei Han
Li Shen
24
7
0
30 Aug 2021
Adaptive Synthetic Characters for Military Training
Adaptive Synthetic Characters for Military Training
Volkan Ustun
Rajay Kumar
Adam Reilly
Seyed Sajjadi
Andrew Miller
AI4CE
20
10
0
06 Jan 2021
Grounding Artificial Intelligence in the Origins of Human Behavior
Grounding Artificial Intelligence in the Origins of Human Behavior
Eleni Nisioti
Clément Moulin-Frier
AI4CE
47
5
0
15 Dec 2020
EvoCraft: A New Challenge for Open-Endedness
EvoCraft: A New Challenge for Open-Endedness
Djordje Grbic
Rasmus Berg Palm
Elias Najarro
Claire Glanois
S. Risi
21
30
0
08 Dec 2020
RLCard: A Toolkit for Reinforcement Learning in Card Games
RLCard: A Toolkit for Reinforcement Learning in Card Games
Daochen Zha
Kwei-Herng Lai
Yuanpu Cao
Songyi Huang
Ruzhe Wei
Junyu Guo
Xia Hu
OffRL
18
58
0
10 Oct 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
51
413
0
11 Aug 2019
Arena: A General Evaluation Platform and Building Toolkit for
  Multi-Agent Intelligence
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
Yuhang Song
Andrzej Wojcicki
Thomas Lukasiewicz
Jianyi Wang
Abi Aryan
Zhenghua Xu
Mai Xu
Zihan Ding
Lianlong Wu
AI4CE
ELM
27
33
0
17 May 2019
Segmentation is All You Need
Segmentation is All You Need
Zehua Cheng
Yuxiang Wu
Zhenghua Xu
Thomas Lukasiewicz
Weiyan Wang
33
20
0
30 Apr 2019
A Conceptual Bio-Inspired Framework for the Evolution of Artificial
  General Intelligence
A Conceptual Bio-Inspired Framework for the Evolution of Artificial General Intelligence
S. Pontes-Filho
Stefano Nichele
AI4CE
19
6
0
25 Mar 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
43
551
0
12 Oct 2018
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