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

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

19 / 19 papers shown

Title
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 18 0 06 Jun 2024
A social path to human-like artificial intelligence Edgar A. Duénez-Guzmán Suzanne Sadedin Jane X. Wang Kevin R. McKee Joel Z. Leibo GNN 28 28 0 22 May 2024
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 Lijun Sun Yu-Cheng Chang Chao Lyu Chin-Teng Lin Yuhui Shi 31 1 0 27 Jul 2023
Differentiable Arbitrating in Zero-sum Markov Games Jing Wang Meichen Song Feng Gao Boyi Liu Zhaoran Wang Yi Wu 32 2 0 20 Feb 2023
Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments Hamon Gautier Eleni Nisioti Clément Moulin-Frier 24 2 0 18 Feb 2023
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 20 2 0 02 Feb 2023
Extended Intelligence D. Barack Andrew Jaegle 24 5 0 15 Sep 2022
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS Eleni Nisioti Matéo Mahaut Pierre-Yves Oudeyer Ida Momennejad Clément Moulin-Frier 19 9 0 10 Jun 2022
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 40 11 0 01 Mar 2022
Environment Generation for Zero-Shot Compositional Reinforcement Learning Izzeddin Gur Natasha Jaques Yingjie Miao Jongwook Choi Manoj Kumar Tiwari Honglak Lee Aleksandra Faust 28 43 0 21 Jan 2022
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 26 181 0 27 Jul 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games Nicolas Perez Nieves Yaodong Yang Oliver Slumbers D. Mguni Ying Wen Jun Wang 17 67 0 14 Mar 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging Nikunj Gupta G. Srinivasaraghavan S. Mohalik Nishant Kumar Matthew E. Taylor 11 15 0 18 Jan 2021
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z. Leibo Kate Larson T. Graepel 24 199 0 15 Dec 2020
Grounding Artificial Intelligence in the Origins of Human Behavior Eleni Nisioti Clément Moulin-Frier AI4CE 28 5 0 15 Dec 2020
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences Bowen Baker LRM 13 33 0 10 Nov 2020
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 17 33 0 17 May 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 30 549 0 12 Oct 2018