ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.06363
  4. Cited By
Griddly: A platform for AI research in games
v1v2v3 (latest)

Griddly: A platform for AI research in games

12 November 2020
Chris Bamford
Shengyi Huang
Simon Lucas
ArXiv (abs)PDFHTML

Papers citing "Griddly: A platform for AI research in games"

11 / 11 papers shown
Title
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent
  Learning
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
Joseph Suárez
Phillip Isola
Kyoung Whan Choe
David Bloomin
Hao Xiang Li
...
Kirsty You
Yuhao Jiang
Qimai Li
Jiaxin Chen
Xiaolong Zhu
LLMAG
43
5
0
07 Nov 2023
Improving Intrinsic Exploration by Creating Stationary Objectives
Improving Intrinsic Exploration by Creating Stationary Objectives
Roger Creus Castanyer
Javier Civera
Taihú Pire
OffRL
103
4
0
27 Oct 2023
GriddlyJS: A Web IDE for Reinforcement Learning
GriddlyJS: A Web IDE for Reinforcement Learning
C. Bamford
Minqi Jiang
Mikayel Samvelyan
Tim Rocktaschel
OnRL
94
5
0
13 Jul 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
112
107
0
11 Jan 2022
CleanRL: High-quality Single-file Implementations of Deep Reinforcement
  Learning Algorithms
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms
Shengyi Huang
Rousslan Fernand Julien Dossa
Chang Ye
Jeff Braga
OffRL
18
0
0
16 Nov 2021
The Neural MMO Platform for Massively Multiagent Research
The Neural MMO Platform for Massively Multiagent Research
Joseph Suárez
Yilun Du
Clare Zhu
Igor Mordatch
Phillip Isola
AI4CE
82
25
0
14 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning
  Research
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
319
91
0
27 Sep 2021
A Systematic Survey of Text Worlds as Embodied Natural Language
  Environments
A Systematic Survey of Text Worlds as Embodied Natural Language Environments
Peter Alexander Jansen
LM&Ro
87
23
0
08 Jul 2021
Predictive Control Using Learned State Space Models via Rolling Horizon
  Evolution
Predictive Control Using Learned State Space Models via Rolling Horizon Evolution
Alvaro Ovalle
Simon Lucas
23
0
0
25 Jun 2021
Did I do that? Blame as a means to identify controlled effects in
  reinforcement learning
Did I do that? Blame as a means to identify controlled effects in reinforcement learning
Oriol Corcoll
Youssef Mohamed
Raul Vicente
54
3
0
01 Jun 2021
Generalising Discrete Action Spaces with Conditional Action Trees
Generalising Discrete Action Spaces with Conditional Action Trees
Christopher Bamford
Alvaro Ovalle
72
7
0
15 Apr 2021
1