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

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
ArXivPDFHTML

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

24 / 24 papers shown
Title
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
40
22
0
06 Jun 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
An Invitation to Deep Reinforcement Learning
An Invitation to Deep Reinforcement Learning
Bernhard Jaeger
Andreas Geiger
OffRL
OOD
78
5
0
13 Dec 2023
MatrixWorld: A pursuit-evasion platform for safe multi-agent
  coordination and autocurricula
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
Lijun Sun
Yu-Cheng Chang
Chao Lyu
Chin-Teng Lin
Yuhui Shi
38
1
0
27 Jul 2023
Differentiable Arbitrating in Zero-sum Markov Games
Differentiable Arbitrating in Zero-sum Markov Games
Jing Wang
Meichen Song
Feng Gao
Boyi Liu
Zhaoran Wang
Yi Wu
43
2
0
20 Feb 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
31
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
26
2
0
02 Feb 2023
Extended Intelligence
Extended Intelligence
D. Barack
Andrew Jaegle
33
5
0
15 Sep 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
24
9
0
10 Jun 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
46
11
0
01 Mar 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
36
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
VLM
DRL
26
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
55
181
0
27 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
40
8
0
12 Jul 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
29
37
0
16 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
31
129
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
22
67
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
15
31
0
05 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
24
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
37
199
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
47
5
0
15 Dec 2020
Emergent Reciprocity and Team Formation from Randomized Uncertain Social
  Preferences
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences
Bowen Baker
LRM
18
33
0
10 Nov 2020
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
AI4CE
ELM
27
33
0
17 May 2019
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
32
550
0
12 Oct 2018
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