English

DeepMind Lab2D

Artificial Intelligence 2020-12-15 v2
Authors: Charles Beattie , Thomas Köppe , Edgar A. Duéñez-Guzmán , Joel Z. Leibo
View on arXiv ↗ PDF ↗

Abstract

We present DeepMind Lab2D, a scalable environment simulator for artificial intelligence research that facilitates researcher-led experimentation with environment design. DeepMind Lab2D was built with the specific needs of multi-agent deep reinforcement learning researchers in mind, but it may also be useful beyond that particular subfield.

Keywords

simulation

Cite

@article{arxiv.2011.07027,
  title  = {DeepMind Lab2D},
  author = {Charles Beattie and Thomas Köppe and Edgar A. Duéñez-Guzmán and Joel Z. Leibo},
  journal= {arXiv preprint arXiv:2011.07027},
  year   = {2020}
}

Comments

7 pages, 2 figures

Related papers

View all related →
Artificial Intelligence · Computer Science
DeepMind Lab
Charles Beattie, Joel Z. Leibo, Denis Teplyashin, Tom Ward +17
2016-12-14
Multiagent Systems · Computer Science
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments
Ian Gemp, Thomas Anthony, Yoram Bachrach, Avishkar Bhoopchand +23
2022-09-23
Human-Computer Interaction · Computer Science
Simulating Teams with LLM Agents: Interactive 2D Environments for Studying Human-AI Dynamics
Mohammed Almutairi, Charles Chiang, Haoze Guo, Matthew Belcher +8
2025-10-10
Machine Learning · Computer Science
A Discrete-event-based Simulator for Distributed Deep Learning
Xiaoyan Liu, Zhiwei Xu, Yana Qin, Jie Tian
2022-11-24
Artificial Intelligence · Computer Science
The Animal-AI Environment: A Virtual Laboratory For Comparative Cognition and Artificial Intelligence Research
Konstantinos Voudouris, Ibrahim Alhas, Wout Schellaert, Matteo G. Mecattaf +10
2025-01-20
Machine Learning · Computer Science
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning
Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michael Garcia-Ortiz +1
2018-09-11
Machine Learning · Computer Science
Unified Distributed Environment
Woong Gyu La, Sunil Muralidhara, Lingjie Kong, Pratik Nichat
2022-05-17
Machine Learning · Computer Science
Multi-Agent Deep Reinforcement Learning with Human Strategies
Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi
2019-07-30
Artificial Intelligence · Computer Science
Exploring Exploration: Comparing Children with RL Agents in Unified Environments
Eliza Kosoy, Jasmine Collins, David M. Chan, Sandy Huang +5
2020-07-02
Artificial Intelligence · Computer Science
A Multi-Purpose Scenario-based Simulator for Smart House Environments
Zahra Forootan Jahromi, Amir Rajabzadeh, Ali Reza Manashty
2011-05-17
Human-Computer Interaction · Computer Science
Deliberate Lab: A Platform for Real-Time Human-AI Social Experiments
Crystal Qian, Vivian Tsai, Michael Behr, Nada Hussein +3
2025-10-16
Artificial Intelligence · Computer Science
Using Unity to Help Solve Intelligence
Tom Ward, Andrew Bolt, Nik Hemmings, Simon Carter +9
2020-11-19
Machine Learning · Computer Science
L2Explorer: A Lifelong Reinforcement Learning Assessment Environment
Erik C. Johnson, Eric Q. Nguyen, Blake Schreurs, Chigozie S. Ewulum +5
2022-03-16
Machine Learning · Computer Science
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems
Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
2022-02-04
Machine Learning · Computer Science
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer
Edward Beeching, Christian Wolf, Jilles Dibangoye, Olivier Simonin
2019-04-04
Distributed, Parallel, and Cluster Computing · Computer Science
A Virtual Laboratory for Managing Computational Experiments
Eleni Adamidi, Panayiotis Deligiannis, Nikos Foutris, Thanasis Vergoulis
2025-04-03
Machine Learning · Computer Science
The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition
Benjamin Beyret, José Hernández-Orallo, Lucy Cheke, Marta Halina +2
2019-09-19
Robotics · Computer Science
Autonomous Embodied Agents: When Robotics Meets Deep Learning Reasoning
Roberto Bigazzi
2025-05-05
Artificial Intelligence · Computer Science
NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds
Shivam Goel, Yichen Wei, Panagiotis Lymperopoulos, Klara Chura +2
2024-06-09
Machine Learning · Computer Science
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Andrew Szot, Alex Clegg, Eric Undersander, Erik Wijmans +17
2022-07-04
Artificial Intelligence · Computer Science
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
Joel Z. Leibo, Cyprien de Masson d'Autume, Daniel Zoran, David Amos +9
2018-02-06
Human-Computer Interaction · Computer Science
The Hitchiker's Guide to Successful Living Lab Operations
Alan Wang, Feng Yi Chang, Siavash Yousefi, Beatrice Li +2
2022-12-02
Machine Learning · Computer Science
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun
2021-07-22
Machine Learning · Computer Science
Imagination-Augmented Agents for Deep Reinforcement Learning
Théophane Weber, Sébastien Racanière, David P. Reichert, Lars Buesing +11
2018-02-15
Machine Learning · Computer Science
The Neural MMO Platform for Massively Multiagent Research
Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch +1
2021-10-15
R2 v1 2026-06-23T20:11:24.956Z