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AI-GAs: AI-generating algorithms, an alternate paradigm for producing
  general artificial intelligence

AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence

27 May 2019
Jeff Clune
ArXivPDFHTML

Papers citing "AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence"

28 / 28 papers shown
Title
EvoFlow: Evolving Diverse Agentic Workflows On The Fly
EvoFlow: Evolving Diverse Agentic Workflows On The Fly
Guibin Zhang
Kaijie Chen
Guancheng Wan
Heng Chang
Hong Cheng
K. Wang
Shuyue Hu
Lei Bai
87
2
0
11 Feb 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
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
18
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
Evolving Reservoirs for Meta Reinforcement Learning
Evolving Reservoirs for Meta Reinforcement Learning
Corentin Léger
Gautier Hamon
Eleni Nisioti
X. Hinaut
Clément Moulin-Frier
23
1
0
09 Dec 2023
Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation
Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation
Jiaxi Gu
Shicong Wang
Haoyu Zhao
Tianyi Lu
Xing Zhang
Zuxuan Wu
Songcen Xu
Wei Zhang
Yu-Gang Jiang
Hang Xu
DiffM
VGen
39
43
0
07 Sep 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with
  Transfer Learning for improving their Performance and Robustness
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
Javier Poyatos
Daniel Molina
Aitor Martínez
Javier Del Ser
Francisco Herrera
35
10
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
24
2
0
18 Feb 2023
Human-Timescale Adaptation in an Open-Ended Task Space
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team
Jakob Bauer
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
...
Jakub Sygnowski
K. Tuyls
Sarah York
Alexander Zacherl
Lei Zhang
LM&Ro
OffRL
AI4CE
LRM
35
108
0
18 Jan 2023
General-Purpose In-Context Learning by Meta-Learning Transformers
General-Purpose In-Context Learning by Meta-Learning Transformers
Louis Kirsch
James Harrison
Jascha Narain Sohl-Dickstein
Luke Metz
34
72
0
08 Dec 2022
Cooperative control of environmental extremes by artificial intelligent
  agents
Cooperative control of environmental extremes by artificial intelligent agents
Martí Sánchez-Fibla
Clément Moulin-Frier
Ricard Solé
AI4CE
13
2
0
05 Dec 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from
  Mixture-of-Experts
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong
Zhixiang Chi
Li Gu
Yang Wang
Yuanhao Yu
Jingshan Tang
OOD
66
29
0
08 Oct 2022
Learning to learn online with neuromodulated synaptic plasticity in
  spiking neural networks
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks
Samuel Schmidgall
Joe Hays
35
3
0
25 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
40
11
0
01 Mar 2022
Evolving Neural Networks with Optimal Balance between Information Flow
  and Connections Cost
Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost
A. Khalili
A. Bouchachia
11
0
0
12 Feb 2022
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
Rujikorn Charakorn
P. Manoonpong
Nat Dilokthanakul
25
5
0
05 Nov 2021
Evolutionary Self-Replication as a Mechanism for Producing Artificial
  Intelligence
Evolutionary Self-Replication as a Mechanism for Producing Artificial Intelligence
Samuel Schmidgall
Joe Hays
25
1
0
16 Sep 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
26
181
0
27 Jul 2021
BR-NS: an Archive-less Approach to Novelty Search
BR-NS: an Archive-less Approach to Novelty Search
Achkan Salehi
Alexandre Coninx
Stéphane Doncieux
18
6
0
08 Apr 2021
Training Learned Optimizers with Randomly Initialized Learned Optimizers
Training Learned Optimizers with Randomly Initialized Learned Optimizers
Luke Metz
C. Freeman
Niru Maheswaranathan
Jascha Narain Sohl-Dickstein
43
12
0
14 Jan 2021
Grounding Artificial Intelligence in the Origins of Human Behavior
Grounding Artificial Intelligence in the Origins of Human Behavior
Eleni Nisioti
Clément Moulin-Frier
AI4CE
34
5
0
15 Dec 2020
Fiber: A Platform for Efficient Development and Distributed Training for
  Reinforcement Learning and Population-Based Methods
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods
Jiale Zhi
Rui Wang
Jeff Clune
Kenneth O. Stanley
OffRL
19
12
0
25 Mar 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded
  Invention of Learning Challenges and their Solutions
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Rui Wang
Joel Lehman
Aditya Rawal
Jiale Zhi
Yulun Li
Jeff Clune
Kenneth O. Stanley
14
123
0
19 Mar 2020
Learning to Continually Learn
Learning to Continually Learn
Shawn L. E. Beaulieu
Lapo Frati
Thomas Miconi
Joel Lehman
Kenneth O. Stanley
Jeff Clune
Nick Cheney
KELM
CLL
32
146
0
21 Feb 2020
Unity: A General Platform for Intelligent Agents
Unity: A General Platform for Intelligent Agents
Arthur Juliani
Vincent-Pierre Berges
Esh Vckay
Andrew Cohen
Jonathan Harper
...
Chris Goy
Yuan Gao
Hunter Henry
Marwan Mattar
Danny Lange
16
808
0
07 Sep 2018
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,684
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
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