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Autocurricula and the Emergence of Innovation from Social Interaction: A
  Manifesto for Multi-Agent Intelligence Research
v1v2 (latest)

Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research

2 March 2019
Joel Z Leibo
Edward Hughes
Marc Lanctot
T. Graepel
ArXiv (abs)PDFHTML

Papers citing "Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research"

45 / 45 papers shown
Title
Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments
Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments
Riley Simmons-Edler
R. Badman
Felix Baastad Berg
Raymond Chua
John J. Vastola
Joshua Lunger
William Qian
K. Rajan
OffRL
17
0
0
08 Jun 2025
Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts
Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts
Saptarshi Nath
Christos Peridis
Eseoghene Benjamin
Xinran Liu
Soheil Kolouri
Peter Kinnell
Zexin Li
Cong Liu
Shirin Dora
Andrea Soltoggio
30
0
0
05 Jun 2025
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning
Giuseppe Paolo
Abdelhakim Benechehab
Hamza Cherkaoui
Albert Thomas
Balázs Kégl
96
0
0
21 Feb 2025
High-fidelity social learning via shared episodic memories enhances collaborative foraging through mnemonic convergence
High-fidelity social learning via shared episodic memories enhances collaborative foraging through mnemonic convergence
Ismael T. Freire
P. Verschure
58
1
0
31 Dec 2024
A Multi-agent Reinforcement Learning Study of Evolution of Communication
  and Teaching under Libertarian and Utilitarian Governing Systems
A Multi-agent Reinforcement Learning Study of Evolution of Communication and Teaching under Libertarian and Utilitarian Governing Systems
Aslan S. Dizaji
53
1
0
04 Mar 2024
An Invitation to Deep Reinforcement Learning
An Invitation to Deep Reinforcement Learning
Bernhard Jaeger
Andreas Geiger
OffRLOOD
158
5
0
13 Dec 2023
Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large
  Multi-agent Environments
Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments
Hamon Gautier
Eleni Nisioti
Clément Moulin-Frier
72
2
0
18 Feb 2023
Diversity Through Exclusion (DTE): Niche Identification for
  Reinforcement Learning through Value-Decomposition
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
P. Sunehag
A. Vezhnevets
Edgar A. Duénez-Guzmán
Igor Mordach
Joel Z Leibo
55
2
0
02 Feb 2023
Emergent collective intelligence from massive-agent cooperation and
  competition
Emergent collective intelligence from massive-agent cooperation and competition
H. Chen
Stone Tao
Jiaxin Chen
Weihan Shen
Xihui Li
Chenghui Yu
Sikai Cheng
Xiaolong Zhu
Xiu Li
30
4
0
04 Jan 2023
Extended Intelligence
Extended Intelligence
D. Barack
Andrew Jaegle
78
5
0
15 Sep 2022
Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning
  as a Framework for Emergent Behavior
Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior
H. Haeri
Reza Ahmadzadeh
Kshitij Jerath
59
10
0
12 Jul 2022
Social Network Structure Shapes Innovation: Experience-sharing in RL
  with SAPIENS
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS
Eleni Nisioti
Matéo Mahaut
Pierre-Yves Oudeyer
Ida Momennejad
Clément Moulin-Frier
90
10
0
10 Jun 2022
Creative Problem Solving in Artificially Intelligent Agents: A Survey
  and Framework
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework
Evana Gizzi
Lakshmi Nair
Sonia Chernova
Jivko Sinapov
AI4CE
63
15
0
21 Apr 2022
Learning Robust Real-Time Cultural Transmission without Human Data
Learning Robust Real-Time Cultural Transmission without Human Data
Cultural General Intelligence Team
Avishkar Bhoopchand
Bethanie Brownfield
Adrian Collister
Agustin Dal Lago
...
Alex Platonov
Evan Senter
Sukhdeep Singh
Alexander Zacherl
Lei M. Zhang
VLM
123
11
0
01 Mar 2022
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum
  Generation
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation
Yuqing Du
Pieter Abbeel
Aditya Grover
109
18
0
22 Feb 2022
Environment Generation for Zero-Shot Compositional Reinforcement
  Learning
Environment Generation for Zero-Shot Compositional Reinforcement Learning
Izzeddin Gur
Natasha Jaques
Yingjie Miao
Jongwook Choi
Manoj Kumar Tiwari
Honglak Lee
Aleksandra Faust
91
43
0
21 Jan 2022
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative
  Multi-Agent Problems
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
Jiayu Chen
Yuanxin Zhang
Yuanfan Xu
Huimin Ma
Huazhong Yang
Jiaming Song
Yu Wang
Yi Wu
VLMDRL
82
32
0
08 Nov 2021
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Team
Adam Stooke
Anuj Mahajan
Catarina Barros
Charlie Deck
...
Nicolas Porcel
Roberta Raileanu
Steph Hughes-Fitt
Valentin Dalibard
Wojciech M. Czarnecki
128
190
0
27 Jul 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting
  Pot
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z Leibo
Edgar A. Duénez-Guzmán
A. Vezhnevets
J. Agapiou
P. Sunehag
Raphael Köster
Jayd Matyas
Charlie Beattie
Igor Mordatch
T. Graepel
OffRL
93
111
0
14 Jul 2021
Explore and Control with Adversarial Surprise
Explore and Control with Adversarial Surprise
Arnaud Fickinger
Natasha Jaques
Samyak Parajuli
Michael Chang
Nicholas Rhinehart
Glen Berseth
Stuart J. Russell
Sergey Levine
73
8
0
12 Jul 2021
Meta-control of social learning strategies
Meta-control of social learning strategies
Anil Yaman
Nicolas Bredèche
Onur cCaylak
Joel Z Leibo
Sang Wan Lee
60
4
0
18 Jun 2021
A learning agent that acquires social norms from public sanctions in
  decentralized multi-agent settings
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings
Eugene Vinitsky
Raphael Köster
J. Agapiou
Edgar A. Duénez-Guzmán
A. Vezhnevets
Joel Z Leibo
81
41
0
16 Jun 2021
RLupus: Cooperation through emergent communication in The Werewolf
  social deduction game
RLupus: Cooperation through emergent communication in The Werewolf social deduction game
Nicolo’ Brandizzi
D. Grossi
Luca Iocchi
63
9
0
09 Jun 2021
From Motor Control to Team Play in Simulated Humanoid Football
From Motor Control to Team Play in Simulated Humanoid Football
Siqi Liu
Guy Lever
Zhe Wang
J. Merel
S. M. Ali Eslami
...
Tuomas Haarnoja
Brendan D. Tracey
K. Tuyls
T. Graepel
N. Heess
117
134
0
25 May 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games
Modelling Behavioural Diversity for Learning in Open-Ended Games
Nicolas Perez Nieves
Yaodong Yang
Oliver Slumbers
D. Mguni
Ying Wen
Jun Wang
84
71
0
14 Mar 2021
Learning in Matrix Games can be Arbitrarily Complex
Learning in Matrix Games can be Arbitrarily Complex
Gabriel P. Andrade
Rafael Frongillo
Georgios Piliouras
57
30
0
05 Mar 2021
Adversarial Environment Generation for Learning to Navigate the Web
Adversarial Environment Generation for Learning to Navigate the Web
Izzeddin Gur
Natasha Jaques
Kevin Malta
Manoj Kumar Tiwari
Honglak Lee
Aleksandra Faust
116
17
0
02 Mar 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via
  Learned Messaging
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging
Nikunj Gupta
G. Srinivasaraghavan
S. Mohalik
Nishant Kumar
Matthew E. Taylor
55
15
0
18 Jan 2021
Open Problems in Cooperative AI
Open Problems in Cooperative AI
Allan Dafoe
Edward Hughes
Yoram Bachrach
Tantum Collins
Kevin R. McKee
Joel Z Leibo
Kate Larson
T. Graepel
121
203
0
15 Dec 2020
Grounding Artificial Intelligence in the Origins of Human Behavior
Grounding Artificial Intelligence in the Origins of Human Behavior
Eleni Nisioti
Clément Moulin-Frier
AI4CE
115
5
0
15 Dec 2020
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment
  Design
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
Michael Dennis
Natasha Jaques
Eugene Vinitsky
Alexandre M. Bayen
Stuart J. Russell
Andrew Critch
Sergey Levine
111
237
0
03 Dec 2020
Inductive Biases for Deep Learning of Higher-Level Cognition
Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal
Yoshua Bengio
AI4CE
118
366
0
30 Nov 2020
Emergent Road Rules In Multi-Agent Driving Environments
Emergent Road Rules In Multi-Agent Driving Environments
Avik Pal
Jonah Philion
Yuan-Hong Liao
Sanja Fidler
79
11
0
21 Nov 2020
DeepMind Lab2D
DeepMind Lab2D
C. Beattie
Thomas Koppe
Edgar A. Duénez-Guzmán
Joel Z. Leibo
VLM
86
18
0
13 Nov 2020
Emergent Reciprocity and Team Formation from Randomized Uncertain Social
  Preferences
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences
Bowen Baker
LRM
69
37
0
10 Nov 2020
A game-theoretic analysis of networked system control for common-pool
  resource management using multi-agent reinforcement learning
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
Arnu Pretorius
Scott A. Cameron
Elan Van Biljon
Tom Makkink
Shahil Mawjee
J. D. Plessis
Jonathan P. Shock
Alexandre Laterre
Karim Beguir
67
12
0
15 Oct 2020
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement
  Learning
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
Tarun Gupta
Anuj Mahajan
Bei Peng
Wendelin Bohmer
Shimon Whiteson
OffRL
120
50
0
06 Oct 2020
Biases for Emergent Communication in Multi-agent Reinforcement Learning
Biases for Emergent Communication in Multi-agent Reinforcement Learning
Tom Eccles
Yoram Bachrach
Guy Lever
Angeliki Lazaridou
T. Graepel
AI4CE
83
70
0
11 Dec 2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent
  Communication)
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa
O. Afanasjeva
Simon Andersson
Joseph Davidson
N. Guttenberg
Petr Hlubucek
Martin Poliak
Jaroslav Vítků
Jan Feyereisl
80
10
0
03 Dec 2019
Emergent Tool Use From Multi-Agent Autocurricula
Emergent Tool Use From Multi-Agent Autocurricula
Bowen Baker
I. Kanitscheider
Todor Markov
Yi Wu
Glenn Powell
Bob McGrew
Igor Mordatch
LRM
72
658
0
17 Sep 2019
Exploration with Unreliable Intrinsic Reward in Multi-Agent
  Reinforcement Learning
Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning
Wendelin Bohmer
Tabish Rashid
Shimon Whiteson
41
24
0
05 Jun 2019
Options as responses: Grounding behavioural hierarchies in multi-agent
  RL
Options as responses: Grounding behavioural hierarchies in multi-agent RL
A. Vezhnevets
Yuhuai Wu
Rémi Leblond
Joel Z Leibo
AI4CE
92
17
0
04 Jun 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
AI4CEELM
114
34
0
17 May 2019
Multiparty Dynamics and Failure Modes for Machine Learning and
  Artificial Intelligence
Multiparty Dynamics and Failure Modes for Machine Learning and Artificial Intelligence
David Manheim
30
23
0
16 Oct 2018
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
119
569
0
12 Oct 2018
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