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2011.06363
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Griddly: A platform for AI research in games
12 November 2020
Chris Bamford
Shengyi Huang
Simon Lucas
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Papers citing
"Griddly: A platform for AI research in games"
26 / 26 papers shown
The Emergence of Complex Behavior in Large-Scale Ecological Environments
Joseph Bejjani
Chase Van Amburg
Chengrui Wang
Chloe Huangyuan Su
Sarah M Pratt
Yasin Mazloumi
Naeem Khoshnevis
Sham Kakade
Kianté Brantley
Aaron Walsman
216
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0
21 Oct 2025
POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
Alexey Skrynnik
Anton Andreychuk
Anatolii Borzilov
Alexander Chernyavskiy
Konstantin Yakovlev
Aleksandr I. Panov
281
1
0
20 Jul 2024
Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments
Mikel Malagón
Josu Ceberio
Jose A. Lozano
237
0
0
04 Jul 2024
Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning
Adriana Hugessen
Roger Creus Castanyer
Faisal Mohamed
Glen Berseth
188
0
0
27 May 2024
Large Language Models and Games: A Survey and Roadmap
Roberto Gallotta
Graham Todd
Marvin Zammit
Sam Earle
Antonios Liapis
Julian Togelius
Georgios N. Yannakakis
LLMAG
LM&MA
AI4CE
LRM
512
142
0
28 Feb 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
Alexander Nikulin
Vladislav Kurenkov
Ilya Zisman
Artem Agarkov
Viacheslav Sinii
Sergey Kolesnikov
461
49
0
19 Dec 2023
Quality Diversity in the Amorphous Fortress (QD-AF): Evolving for Complexity in 0-Player Games
Sam Earle
M. Charity
Dipika Rajesh
Mayu Wilson
Julian Togelius
224
1
0
04 Dec 2023
minimax: Efficient Baselines for Autocurricula in JAX
Minqi Jiang
Michael Dennis
Edward Grefenstette
Tim Rocktaschel
353
11
0
21 Nov 2023
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
Neural Information Processing Systems (NeurIPS), 2023
Joseph Suárez
Phillip Isola
Kyoung Whan Choe
David Bloomin
Hao Xiang Li
...
Kirsty You
Yuhao Jiang
Qimai Li
Jiaxin Chen
Xiaolong Zhu
LLMAG
251
11
0
07 Nov 2023
Improving Intrinsic Exploration by Creating Stationary Objectives
International Conference on Learning Representations (ICLR), 2023
Roger Creus Castanyer
Javier Civera
Taihú Pire
OffRL
445
4
0
27 Oct 2023
Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI
Emily Jin
Jiaheng Hu
Zhuoyi Huang
Ruohan Zhang
Jiajun Wu
Fei-Fei Li
Roberto Martín-Martín
LM&Ro
211
18
0
03 Oct 2023
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
Martin Balla
G. E. Long
Dominik Jeurissen
J. Goodman
Raluca D. Gaina
Diego Perez-Liebana
LMTD
OffRL
OnRL
217
3
0
19 Jul 2023
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
Neural Information Processing Systems (NeurIPS), 2023
Maxime Chevalier-Boisvert
Bolun Dai
Mark Towers
Rodrigo de Lazcano
Lucas Willems
Salem Lahlou
Suman Pal
Pablo Samuel Castro
Jordan Terry
VGen
365
319
0
24 Jun 2023
Games for Artificial Intelligence Research: A Review and Perspectives
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Chengpeng Hu
Yunlong Zhao
Ziqi Wang
Haocheng Du
Jialin Liu
AI4CE
291
23
0
26 Apr 2023
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Mikayel Samvelyan
Akbir Khan
Michael Dennis
Minqi Jiang
Jack Parker-Holder
Jakob N. Foerster
Roberta Raileanu
Tim Rocktaschel
357
36
0
06 Mar 2023
Level Generation Through Large Language Models
International Conference on Foundations of Digital Games (FDG), 2023
Graham Todd
Sam Earle
Muhammad Umair Nasir
M. Green
Julian Togelius
264
105
0
11 Feb 2023
GriddlyJS: A Web IDE for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
C. Bamford
Minqi Jiang
Mikayel Samvelyan
Tim Rocktaschel
OnRL
316
6
0
13 Jul 2022
Watts: Infrastructure for Open-Ended Learning
Aaron Dharna
Charlie Summers
Rohin Dasari
Julian Togelius
Amy K. Hoover
179
2
0
28 Apr 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Journal of Artificial Intelligence Research (JAIR), 2022
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Katharina Eggensperger
Marius Lindauer
AI4CE
413
128
0
11 Jan 2022
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms
Shengyi Huang
Rousslan Fernand Julien Dossa
Chang Ye
Jeff Braga
OffRL
95
0
0
16 Nov 2021
The Neural MMO Platform for Massively Multiagent Research
Joseph Suárez
Yilun Du
Clare Zhu
Igor Mordatch
Phillip Isola
AI4CE
206
27
0
14 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
502
105
0
27 Sep 2021
A Systematic Survey of Text Worlds as Embodied Natural Language Environments
Peter Alexander Jansen
LM&Ro
180
25
0
08 Jul 2021
Predictive Control Using Learned State Space Models via Rolling Horizon Evolution
Alvaro Ovalle
Simon Lucas
108
0
0
25 Jun 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning
Oriol Corcoll
Youssef Mohamed
Raul Vicente
264
3
0
01 Jun 2021
Generalising Discrete Action Spaces with Conditional Action Trees
Christopher Bamford
Alvaro Ovalle
181
7
0
15 Apr 2021
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