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Open-Ended Learning Leads to Generally Capable Agents

Open-Ended Learning Leads to Generally Capable Agents

27 July 2021
Open-Ended Learning Team
Adam Stooke
Anuj Mahajan
Catarina Barros
Charlie Deck
Jakob Bauer
Jakub Sygnowski
Maja Trebacz
Max Jaderberg
Michaël Mathieu
Nat McAleese
N. Bradley-Schmieg
Nathaniel Wong
Nicolas Porcel
Roberta Raileanu
Steph Hughes-Fitt
Valentin Dalibard
Wojciech M. Czarnecki
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Papers citing "Open-Ended Learning Leads to Generally Capable Agents"

50 / 134 papers shown
Title
Human-like compositional learning of visually-grounded concepts using synthetic environments
Human-like compositional learning of visually-grounded concepts using synthetic environments
Zijun Lin
M Ganesh Kumar
Cheston Tan
OCL
CoGe
75
0
0
09 Apr 2025
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?
Grgur Kovač
Jérémy Perez
Rémy Portelas
Peter Ford Dominey
Pierre-Yves Oudeyer
35
0
0
04 Apr 2025
How do language models learn facts? Dynamics, curricula and hallucinations
How do language models learn facts? Dynamics, curricula and hallucinations
Nicolas Zucchet
J. Bornschein
Stephanie C. Y. Chan
Andrew Kyle Lampinen
Razvan Pascanu
Soham De
KELM
HILM
LRM
79
3
1
27 Mar 2025
A Generalist Hanabi Agent
A Generalist Hanabi Agent
Arjun Vaithilingam Sudhakar
Hadi Nekoei
Mathieu Reymond
Miao Liu
Janarthanan Rajendran
Sarath Chandar
162
0
0
17 Mar 2025
Evolution and The Knightian Blindspot of Machine Learning
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman
Elliot Meyerson
Tarek El-Gaaly
Kenneth O. Stanley
Tarin Ziyaee
86
1
0
22 Jan 2025
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
Ke Xue
Yutong Wang
Cong Guan
Lei Yuan
Haobo Fu
Qiang Fu
Chao Qian
Yang Yu
42
16
0
03 Jan 2025
HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone
  Cooperative Pursuit
HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone Cooperative Pursuit
Yang Li
Dengyu Zhang
Junfan Chen
Ying Wen
Qingrui Zhang
Shaoshuai Mou
Wei Pan
32
1
0
13 Sep 2024
DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with
  multi-fingered robots
DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots
Maria Bauzá
José Enrique Chen
Valentin Dalibard
Nimrod Gileadi
Roland Hafner
...
Martin Riedmiller
Jon Scholz
Konstantinos Bousmalis
Francesco Nori
Nicolas Heess
34
5
0
10 Sep 2024
JaxLife: An Open-Ended Agentic Simulator
JaxLife: An Open-Ended Agentic Simulator
Chris Xiaoxuan Lu
Michael Beukman
Michael T. Matthews
Jakob Foerster
LM&Ro
43
3
0
01 Sep 2024
A Review of Nine Physics Engines for Reinforcement Learning Research
A Review of Nine Physics Engines for Reinforcement Learning Research
Michael Kaup
Cornelius Wolff
Hyerim Hwang
Julius Mayer
Elia Bruni
AI4CE
34
5
0
11 Jul 2024
When LLMs Play the Telephone Game: Cumulative Changes and Attractors in
  Iterated Cultural Transmissions
When LLMs Play the Telephone Game: Cumulative Changes and Attractors in Iterated Cultural Transmissions
Jérémy Perez
Corentin Léger
Grgur Kovač
Cédric Colas
Gaia Molinaro
Maxime Derex
Pierre-Yves Oudeyer
Clément Moulin-Frier
38
6
0
05 Jul 2024
Autoverse: An Evolvable Game Language for Learning Robust Embodied
  Agents
Autoverse: An Evolvable Game Language for Learning Robust Embodied Agents
Sam Earle
Julian Togelius
19
1
0
05 Jul 2024
The Overcooked Generalisation Challenge
The Overcooked Generalisation Challenge
Constantin Ruhdorfer
Matteo Bortoletto
Anna Penzkofer
Andreas Bulling
48
4
0
25 Jun 2024
IWISDM: Assessing instruction following in multimodal models at scale
IWISDM: Assessing instruction following in multimodal models at scale
Xiaoxuan Lei
Lucas Gomez
Hao Yuan Bai
P. Bashivan
VLM
33
1
0
20 Jun 2024
From Text to Life: On the Reciprocal Relationship between Artificial
  Life and Large Language Models
From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models
Eleni Nisioti
Claire Glanois
Elias Najarro
Andrew Dai
Elliot Meyerson
J. Pedersen
Laetitia Teodorescu
Conor F. Hayes
Shyam Sudhakaran
Sebastian Risi
AI4CE
LM&Ro
51
3
0
14 Jun 2024
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
Alexander Nikulin
Ilya Zisman
Alexey Zemtsov
Viacheslav Sinii
110
4
0
13 Jun 2024
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
Open-Endedness is Essential for Artificial Superhuman Intelligence
Open-Endedness is Essential for Artificial Superhuman Intelligence
Edward Hughes
Michael Dennis
Jack Parker-Holder
Feryal M. P. Behbahani
Aditi Mavalankar
Yuge Shi
Tom Schaul
Tim Rocktaschel
LRM
34
21
0
06 Jun 2024
Artificial Generational Intelligence: Cultural Accumulation in
  Reinforcement Learning
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
Jonathan Cook
Chris Xiaoxuan Lu
Edward Hughes
Joel Z Leibo
Jakob N. Foerster
38
4
0
01 Jun 2024
Position: Foundation Agents as the Paradigm Shift for Decision Making
Position: Foundation Agents as the Paradigm Shift for Decision Making
Xiaoqian Liu
Xingzhou Lou
Jianbin Jiao
Junge Zhang
OffRL
LLMAG
42
6
0
27 May 2024
Competing for pixels: a self-play algorithm for weakly-supervised
  segmentation
Competing for pixels: a self-play algorithm for weakly-supervised segmentation
Shaheer U. Saeed
Shiqi Huang
João Ramalhinho
Iani J. M. B. Gayo
Nina Montaña-Brown
...
Stephen P. Pereira
Brian R. Davidson
D. Barratt
Matthew J. Clarkson
Yipeng Hu
63
0
0
26 May 2024
A social path to human-like artificial intelligence
A social path to human-like artificial intelligence
Edgar A. Duénez-Guzmán
Suzanne Sadedin
Jane X. Wang
Kevin R. McKee
Joel Z Leibo
GNN
31
28
0
22 May 2024
Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged
  Robots
Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots
Joonho Lee
Marko Bjelonic
Alexander Reske
Lorenz Wellhausen
Takahiro Miki
Marco Hutter
74
39
0
03 May 2024
DreamCraft: Text-Guided Generation of Functional 3D Environments in
  Minecraft
DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft
Sam Earle
Filippos Kokkinos
Yuhe Nie
Julian Togelius
Roberta Raileanu
37
8
0
23 Apr 2024
Scaling Instructable Agents Across Many Simulated Worlds
Scaling Instructable Agents Across Many Simulated Worlds
Sima Team
Maria Abi Raad
Arun Ahuja
Catarina Barros
F. Besse
...
Daan Wierstra
Duncan Williams
Nathaniel Wong
Sarah York
Nick Young
LM&Ro
115
38
0
13 Mar 2024
SOTOPIA-$π$: Interactive Learning of Socially Intelligent Language
  Agents
SOTOPIA-πππ: Interactive Learning of Socially Intelligent Language Agents
Ruiyi Wang
Haofei Yu
W. Zhang
Zhengyang Qi
Maarten Sap
Graham Neubig
Yonatan Bisk
Hao Zhu
LLMAG
43
37
0
13 Mar 2024
Genie: Generative Interactive Environments
Genie: Generative Interactive Environments
Jake Bruce
Michael Dennis
Ashley D. Edwards
Jack Parker-Holder
Yuge Shi
...
Konrad Zolna
Jeff Clune
Nando de Freitas
Satinder Singh
Tim Rocktaschel
VGen
VLM
74
144
0
23 Feb 2024
Discovering Sensorimotor Agency in Cellular Automata using Diversity
  Search
Discovering Sensorimotor Agency in Cellular Automata using Diversity Search
Gautier Hamon
Mayalen Etcheverry
B. Chan
Clément Moulin-Frier
Pierre-Yves Oudeyer
AI4CE
30
3
0
14 Feb 2024
In-Context Reinforcement Learning for Variable Action Spaces
In-Context Reinforcement Learning for Variable Action Spaces
Viacheslav Sinii
Alexander Nikulin
Vladislav Kurenkov
Ilya Zisman
Sergey Kolesnikov
18
14
0
20 Dec 2023
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
Alexander Nikulin
Vladislav Kurenkov
Ilya Zisman
Artem Agarkov
Viacheslav Sinii
Sergey Kolesnikov
26
25
0
19 Dec 2023
Curriculum Learning for Cooperation in Multi-Agent Reinforcement
  Learning
Curriculum Learning for Cooperation in Multi-Agent Reinforcement Learning
R. Bhati
S. Gottipati
Clodéric Mars
Matthew E. Taylor
37
0
0
19 Dec 2023
LiFT: Unsupervised Reinforcement Learning with Foundation Models as
  Teachers
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
Taewook Nam
Juyong Lee
Jesse Zhang
Sung Ju Hwang
Joseph J. Lim
Karl Pertsch
OffRL
LRM
43
5
0
14 Dec 2023
Foundation Models in Robotics: Applications, Challenges, and the Future
Foundation Models in Robotics: Applications, Challenges, and the Future
Roya Firoozi
Johnathan Tucker
Stephen Tian
Anirudha Majumdar
Jiankai Sun
...
Brian Ichter
Danny Driess
Jiajun Wu
Cewu Lu
Mac Schwager
LM&Ro
AI4CE
LRM
VLM
37
140
0
13 Dec 2023
Building Open-Ended Embodied Agent via Language-Policy Bidirectional
  Adaptation
Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation
Shaopeng Zhai
Jie Wang
Tianyi Zhang
Fuxian Huang
Qi Zhang
Ming Zhou
Jing Hou
Yu Qiao
Yu Liu
LLMAG
LM&Ro
37
1
0
12 Dec 2023
Toward Open-ended Embodied Tasks Solving
Toward Open-ended Embodied Tasks Solving
William Wei Wang
Dongqi Han
Xufang Luo
Yifei Shen
Charles Ling
Boyu Wang
Dongsheng Li
AI4CE
10
5
0
10 Dec 2023
The Generalization Gap in Offline Reinforcement Learning
The Generalization Gap in Offline Reinforcement Learning
Ishita Mediratta
Qingfei You
Minqi Jiang
Roberta Raileanu
OffRL
84
10
0
10 Dec 2023
Creative Agents: Empowering Agents with Imagination for Creative Tasks
Creative Agents: Empowering Agents with Imagination for Creative Tasks
Chi Zhang
Penglin Cai
Yuhui Fu
Haoqi Yuan
Zongqing Lu
LM&Ro
LLMAG
51
20
0
05 Dec 2023
Goal-conditioned Offline Planning from Curious Exploration
Goal-conditioned Offline Planning from Curious Exploration
Marco Bagatella
Georg Martius
OffRL
18
1
0
28 Nov 2023
minimax: Efficient Baselines for Autocurricula in JAX
minimax: Efficient Baselines for Autocurricula in JAX
Minqi Jiang
Michael Dennis
Edward Grefenstette
Tim Rocktaschel
19
8
0
21 Nov 2023
Evolutionary Machine Learning and Games
Evolutionary Machine Learning and Games
Julian Togelius
Ahmed Khalifa
Sam Earle
M. Green
Lisa Soros
43
1
0
20 Nov 2023
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents
Olivier Sigaud
Gianluca Baldassarre
Cédric Colas
Stéphane Doncieux
Richard J. Duro
Pierre-Yves Oudeyer
Nicolas Perrin-Gilbert
V. Santucci
AI4CE
26
10
0
01 Nov 2023
LLM-Based Agent Society Investigation: Collaboration and Confrontation
  in Avalon Gameplay
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay
Yihuai Lan
Zhiqiang Hu
Lei Wang
Yang Wang
De-Yong Ye
Peilin Zhao
Ee-Peng Lim
Hui Xiong
Hao Wang
LLMAG
43
40
0
23 Oct 2023
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General
  Sequential Decision Scenarios
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
Yazhe Niu
Yuan Pu
Zhenjie Yang
Xueyan Li
Tong Zhou
Jiyuan Ren
Shuai Hu
Hongsheng Li
Yu Liu
90
12
0
12 Oct 2023
PlotMap: Automated Layout Design for Building Game Worlds
PlotMap: Automated Layout Design for Building Game Worlds
Yi Wang
Jieliang Luo
Adam Gaier
Evan Atherton
Hilmar Koch
25
1
0
26 Sep 2023
Compositional Learning of Visually-Grounded Concepts Using Reinforcement
Compositional Learning of Visually-Grounded Concepts Using Reinforcement
Zijun Lin
Haidi Azaman
M Ganesh Kumar
Cheston Tan
CoGe
OffRL
17
3
0
08 Sep 2023
Reinforcement Learning for Generative AI: A Survey
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
46
10
0
28 Aug 2023
Stabilizing Unsupervised Environment Design with a Learned Adversary
Stabilizing Unsupervised Environment Design with a Learned Adversary
Ishita Mediratta
Minqi Jiang
Jack Parker-Holder
Michael Dennis
Eugene Vinitsky
Tim Rocktaschel
36
14
0
21 Aug 2023
Extend Wave Function Collapse to Large-Scale Content Generation
Extend Wave Function Collapse to Large-Scale Content Generation
Yuhe Nie
Shaoming Zheng
Zhuang Zhan
Xuan Song
19
3
0
14 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
5
0
18 Jul 2023
PID-Inspired Inductive Biases for Deep Reinforcement Learning in
  Partially Observable Control Tasks
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
I. Char
J. Schneider
26
4
0
12 Jul 2023
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