Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2003.05325
Cited By
Meta-learning curiosity algorithms
International Conference on Learning Representations (ICLR), 2020
11 March 2020
Ferran Alet
Martin Schneider
Tomas Lozano-Perez
L. Kaelbling
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Meta-learning curiosity algorithms"
35 / 35 papers shown
Learning Interestingness in Automated Mathematical Theory Formation
George Tsoukalas
Rahul Saha
Amitayush Thakur
Sabrina Reguyal
Swarat Chaudhuri
AIMat
LRM
331
2
0
05 Nov 2025
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
Xiaofeng Cao
Mingwei Xu
Xin Yu
Jiangchao Yao
Wei Ye
...
Minling Zhang
Ivor Tsang
Yew-Soon Ong
James T. Kwok
Heng Tao Shen
221
15
0
10 Oct 2025
Agent-centric learning: from external reward maximization to internal knowledge curation
Hanqi Zhou
Fryderyk Mantiuk
David G. Nagy
Charley M. Wu
265
0
0
29 Jul 2025
Black Box Meta-Learning Intrinsic Rewards
Octavio Pappalardo
Rodrigo Ramele
Juan Miguel Santos
OffRL
333
1
0
31 Jul 2024
Discovering Preference Optimization Algorithms with and for Large Language Models
Chris Xiaoxuan Lu
Samuel Holt
Claudio Fanconi
Alex J. Chan
Jakob Foerster
M. Schaar
R. T. Lange
OffRL
351
32
0
12 Jun 2024
Discovering Temporally-Aware Reinforcement Learning Algorithms
Matthew Jackson
Chris Xiaoxuan Lu
Louis Kirsch
R. T. Lange
Shimon Whiteson
Jakob N. Foerster
349
23
0
08 Feb 2024
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
Neural Information Processing Systems (NeurIPS), 2023
Matthew Jackson
Minqi Jiang
Jack Parker-Holder
Risto Vuorio
Chris Xiaoxuan Lu
Gregory Farquhar
Shimon Whiteson
Jakob N. Foerster
OOD
261
19
0
04 Oct 2023
Fine-grained Recognition with Learnable Semantic Data Augmentation
IEEE Transactions on Image Processing (IEEE TIP), 2023
Yifan Pu
Yizeng Han
Yulin Wang
Junlan Feng
Chao Deng
Gao Huang
352
56
0
01 Sep 2023
An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning
IEEE Transactions on Sustainable Energy (IEEE Trans. Sustain. Energy), 2023
Zichao Meng
Ye Guo
Hongbin Sun
134
15
0
15 Aug 2023
Evolutionary Reinforcement Learning: A Survey
Intelligent Computing (IC), 2023
Hui Bai
Ran Cheng
Yaochu Jin
OffRL
524
90
0
07 Mar 2023
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning
International Conference on Learning Representations (ICLR), 2023
Huiwon Jang
Hankook Lee
Jinwoo Shin
VLM
SSL
275
29
0
02 Mar 2023
Unified Functional Hashing in Automatic Machine Learning
Ryan Gillard
S. Jonany
Yingjie Miao
Michael Munn
Connal de Souza
Jonathan Dungay
Chen Liang
David R. So
Quoc V. Le
Esteban Real
325
2
0
10 Feb 2023
Optimistic Meta-Gradients
Neural Information Processing Systems (NeurIPS), 2023
Sebastian Flennerhag
Tom Zahavy
Brendan O'Donoghue
Hado van Hasselt
András Gyorgy
Satinder Singh
265
3
0
09 Jan 2023
Curiosity creates Diversity in Policy Search
ACM Transactions on Evolutionary Learning and Optimization (TELO), 2022
Paul-Antoine Le Tolguenec
Emmanuel Rachelson
Yann Besse
Dennis G. Wilson
315
2
0
07 Dec 2022
Discovered Policy Optimisation
Neural Information Processing Systems (NeurIPS), 2022
Chris Xiaoxuan Lu
J. Kuba
Alistair Letcher
Luke Metz
Christian Schroeder de Witt
Jakob N. Foerster
OffRL
475
116
0
11 Oct 2022
Evolving Pareto-Optimal Actor-Critic Algorithms for Generalizability and Stability
Juan Jose Garau-Luis
Yingjie Miao
John D. Co-Reyes
Aaron T Parisi
Jie Tan
Esteban Real
Aleksandra Faust
275
0
0
08 Apr 2022
A Simple Guard for Learned Optimizers
International Conference on Machine Learning (ICML), 2022
Isabeau Prémont-Schwarz
Jaroslav Vítkru
Jan Feyereisl
400
10
0
28 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Journal of Artificial Intelligence Research (JAIR), 2022
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Katharina Eggensperger
Marius Lindauer
AI4CE
489
137
0
11 Jan 2022
Introducing Symmetries to Black Box Meta Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Louis Kirsch
Sebastian Flennerhag
Hado van Hasselt
A. Friesen
Junhyuk Oh
Yutian Chen
281
34
0
22 Sep 2021
Bootstrapped Meta-Learning
International Conference on Learning Representations (ICLR), 2021
Sebastian Flennerhag
Yannick Schroecker
Tom Zahavy
Hado van Hasselt
David Silver
Satinder Singh
196
62
0
09 Sep 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
314
6
0
07 Jul 2021
A Brief Summary of Interactions Between Meta-Learning and Self-Supervised Learning
Huimin Peng
SSL
317
5
0
01 Mar 2021
Evolving Reinforcement Learning Algorithms
International Conference on Learning Representations (ICLR), 2021
John D. Co-Reyes
Yingjie Miao
Daiyi Peng
Esteban Real
Sergey Levine
Quoc V. Le
Honglak Lee
Aleksandra Faust
600
81
0
08 Jan 2021
Meta Learning Backpropagation And Improving It
Neural Information Processing Systems (NeurIPS), 2020
Louis Kirsch
Jürgen Schmidhuber
588
67
0
29 Dec 2020
Policy Gradient RL Algorithms as Directed Acyclic Graphs
J. Luis
227
0
0
14 Dec 2020
Discovering Reinforcement Learning Algorithms
Neural Information Processing Systems (NeurIPS), 2020
Junhyuk Oh
Matteo Hessel
Wojciech M. Czarnecki
Zhongwen Xu
H. V. Hasselt
Satinder Singh
David Silver
461
132
0
17 Jul 2020
Should artificial agents ask for help in human-robot collaborative problem-solving?
Adrien Bennetot
V. Charisi
Natalia Díaz Rodríguez
251
10
0
25 May 2020
Curious Hierarchical Actor-Critic Reinforcement Learning
Frank Röder
Manfred Eppe
Phuong D. H. Nguyen
S. Wermter
221
22
0
07 May 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Findings (Findings), 2020
Nithin Holla
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
392
31
0
29 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLM
OffRL
526
42
0
17 Apr 2020
Meta-Learning in Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
944
2,546
0
11 Apr 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
International Conference on Machine Learning (ICML), 2020
Esteban Real
Chen Liang
David R. So
Quoc V. Le
368
260
0
06 Mar 2020
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
219
10
0
03 Dec 2019
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
International Conference on Learning Representations (ICLR), 2019
Louis Kirsch
Sjoerd van Steenkiste
Jürgen Schmidhuber
OffRL
368
132
0
09 Oct 2019
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics
Neural Information Processing Systems (NeurIPS), 2019
Saurabh Daptardar
Paul Schrater
Xaq Pitkow
304
42
0
13 Aug 2019
1
Page 1 of 1
![BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent
Communication)](https://cdn.parameterlab.de/resized-images/aHR0cHM6Ly9jZG4ucGFyYW1ldGVybGFiLmRlL3BhcGVycy8xOTEyLjAxNTEzL3BhZ2VzL3BhZ2UtMS1xODBkMzAwLmpwZw?w=256&q=75&f=webp)
